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Mission Summary

We are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.

In this role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains cutting-edge and robust.

What you'll be doing:

Collaborate closely with ML engineers and data scientists to understand their needs and develop robust tools and processes that streamline the entire ML development lifecycle.
Participate in the design, development and optimization of our core ML infrastructure, leveraging Kubernetes to build robust solutions.
Drive best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.

What we're looking for:

BS or MS in Computer Science or related field
Strong knowledge of software engineering principles.
Expertise with Python or Go
Experience with AWS services or other Cloud platforms
Experience with the various stages of the ML development lifecycle
Strong written and oral communication skills
Experience with ML frameworks such as PyTorch, Ray is a plus
Experience with Kubernetes is a strong plus

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://motional.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Central, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Software Engineer, ML Ops","datePosted":"2025-08-04","description":"

Mission Summary

What you'll be doing:

Collaborate closely with ML engineers and data scientists to understand their needs and develop robust tools and processes that streamline the entire ML development lifecycle.
Participate in the design, development and optimization of our core ML infrastructure, leveraging Kubernetes to build robust solutions.
Drive best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.

What we're looking for:

BS or MS in Computer Science or related field
Strong knowledge of software engineering principles.
Expertise with Python or Go
Experience with AWS services or other Cloud platforms
Experience with the various stages of the ML development lifecycle
Strong written and oral communication skills
Experience with ML frameworks such as PyTorch, Ray is a plus
Experience with Kubernetes is a strong plus

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

Higher purpose, greater impact.

Scale up, not starting up.

","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://motional.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Central, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Software Engineer (ML Ops, Python & Pyspark)","datePosted":"2025-08-04","description":"

About Gartner IT:
Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.

About the role:
Gartner is seeking a talented and passionate MLOps Engineer to join our growing team. In this role, you will be responsible for building Python and Spark-based ML solutions that ensure the reliability and efficiency of our machine learning systems in production. You will collaborate closely with data scientists to operationalize existing models and optimize our MLOps workflows. Your expertise in Python, Spark, model inferencing, and AWS services will be crucial in driving our data-driven initiatives.

What you’ll do:

Develop ML inferencing and data pipelines with AWS tools (S3, EMR, Glue, Athena).
Deploy and optimize ML models on SageMaker and EKS
Implement IaC with Terraform and CI/CD for seamless deployments.
Ensure data quality, pipeline reliability, and performance.
Collaborate with product manager, data scientists and engineers for smooth operations.
Communicate technical insights clearly and support production troubleshooting.

What you’ll need:

Must have:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2-4 years of experience building data and MLOPS pipelines using Python and Spark.
Strong proficiency in Python and Spark.
Hands-on experience with a wide range of AWS services for Big Data and MLOps, including but not limited to S3, Glue, Athena, SageMaker, Lambda, Step Functions, EMR, Kinesis
Experience with Docker; Kubernetes (EKS) experience is a significant plus.
Experience with CloudFormation or Terraform for deploying and managing AWS resources.
Strong problem-solving and analytical skills.
Ability to work effectively within a agile environment.

Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

#LI-PM2

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.

Job Requisition ID:101289

By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy

For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

","hiringOrganization":{"@type":"Organization","name":"Gartner","sameAs":"https://www.gartner.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon - Cyber Park, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Consultant-ML Ops","datePosted":"2025-07-16","description":"Consultant-ML Ops-COR032027

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Ready to shape the future of work?

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At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

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If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

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Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook

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Inviting applications for the role of Consultant - MLOps Engineer!

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In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably.

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You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines.

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Responsibilities

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Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps
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Lead the development of CI/CD pipelines and standardize deployment frameworks.
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Design observability and monitoring systems for ML/GenAI workloads.
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Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations.
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Define enterprise-wide MLOps architecture and standards (build → deploy → monitor)
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Lead design of GenAI/LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack)
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Integrate governance controls (approvals, drift detection, rollback strategies)
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Define model metadata standards, monitoring SLAs, and re-training workflows
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Influence tooling, hiring, and roadmap decisions for AI/ML delivery
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Be engaging in the design, development and maintenance of data pipelines for various AI use cases
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Required to actively contribution to key deliverables as part of an agile development team
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Qualifications we seek in you!

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Minimum Qualifications

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Good years of experience in DevOps or MLOps roles.
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Degree/qualification in Computer Science or a related field, or equivalent work experience
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Strong Python programming skills.
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Hands on experience in containerised deployment.
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Proficient with AWS (SageMaker, Lambda, ECR), Terraform, and Python.
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Demonstrated experience deploying multiple GenAI systems into production.
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Hands-on experience deploying 3–4 ML/GenAI models in AWS.
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Deep understanding of ML model lifecycle: train → test → deploy → monitor → retrain.
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Experience in developing, testing, and deploying data pipelines using public cloud.
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Clear and effective communication skills to interact with team members, stakeholders and end users
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Knowledge of governance and compliance policies, standards, and procedures
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Exposure to RAG/LLM workloads and model deployment infrastructure.
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Experience in developing, testing, and deploying data pipelines
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Preferred Qualifications/ Skills

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Experience designing model governance frameworks and CI/CD pipelines.
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Knowledge of governance and compliance policies, standards, and procedures
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Advanced understanding of platform security, cost optimization, and ML observability.
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Why join Genpact?

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Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
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Make an impact – Drive change for global enterprises and solve business challenges that matter
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Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
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Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
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Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
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Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

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Let’s build tomorrow together.

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Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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Job

Consultant

Primary Location

India-Bangalore

Schedule

Full-time

Education Level

Bachelor's / Graduation / Equivalent

Job Posting

Jul 16, 2025, 12:44:55 PM

Unposting Date

OngoingMaster Skills List DigitalJob Category Full Time","hiringOrganization":{"@type":"Organization","name":"Genpact","sameAs":"https://www.genpact.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India-Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"ML Ops Engineer","datePosted":"2025-08-13","description":"Location: Building 550 - Bristol Business Park, United Kingdom

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.

MLOps Engineer

Bristol - Hybrid

About cortAIx and Thales: At Thales, we focus on building and delivering robust, real-world AI and Data solutions that make a tangible impact for our customers—and society at large. Our global cortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted, operationally effective AI-powered systems for some of the most challenging and complex environments. In the UK, cortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.

What sets this opportunity apart:
We're looking for an MLOps Engineer who cares about building products and capabilities that really work in the field. At Thales, you’ll be empowered to create enduring solutions with broad impact, not just to develop prototypes or chase patents. Our structure supports long-term technical career growth, offering clear and supported paths for specialists and experts—so you can achieve mastery and broad influence without giving up hands-on technical work. You'll enjoy both depth and breadth in your work, collaborating directly with business and technical teams.

Your Impact and Environment:
Join a practical, forward-thinking development team where you can influence ways of working—guiding and enabling data scientists to accelerate the translation of ideas into effective, operational features. You’ll play a key role as a force multiplier: not just delivering your own projects but elevating others and improving our collective output.

Here, our mission isn’t to manipulate human attention for clicks or “likes”—we work with sensor data from a spectrum of sources, ranging from low-SWAP commodity sensors to the most advanced, exquisite solutions. You’ll engage deeply with colleagues from a wide range of highly technical sensor domains, developing your expertise and learning from specialists who are leaders in their field. Your work will be instrumental in empowering users to make sense of critical situations and support timely, high-consequence decisions.

Primary Purpose of the Role:
Drive the evolution, deployment, and scaling of AI and Data capabilities within Thales and for our customers, increasing both business growth and customer satisfaction through reliable and innovative solutions.

Key Responsibilities and Tasks:

Set up and configure ML environments and deployment tools such as Kubernetes, Docker, and Linux Containers.
Write scripts to automate workflows and ensure the reproducibility of ML experiments and deployments.
Conduct regular performance reviews and data audits of deployed models.
Influence and collaborate with data scientists, championing best practices to efficiently translate concepts into robust product features.
Troubleshoot issues related to model performance and technical infrastructure.
Provide support and training to team members on MLOps tools and practices; champion knowledge sharing and reusable patterns.
Create and maintain CI/CD pipelines for automating development, test, and deployment processes.
Identify and drive the adoption of reusable solutions—enabling cost-effective delivery across multiple projects and teams.
Collaborate with development and IT teams to deliver secure, scalable, and high-quality applications on the cloud, leveraging automation tools and scripts.
Work with product owners to refine and meet user needs.
Contribute actively to agile threat modelling and vulnerability management.
Ensure the compliance of solutions with security and regulatory requirements—especially high assurance, MOD-related software.
Support Customer/Solution Data Architects with data landscape coordination and cataloguing.
Support and implement 3rd party data integrations for a wide range of use cases (internal and external).

Skills and Experience Required:

Experience in MLOps, DevOps, DevSecOps, or related software or AI engineering roles in complex, regulated environments.
Proficiency with CI/CD deployment processes.
Track record of deploying software/AI solutions in complex programmes, with an emphasis on operational reliability and scalability.
Strong technical documentation and logical analytical skills—capable of problem-solving at both systems and detailed technical levels.
Experience working on Linux-based infrastructure.
Excellent knowledge of Python and at least one modern programming language for automation and ML development (e.g. Java).
Experience with PyTorch and familiarity with other ML frameworks or libraries as needed (e.g., Scikit-learn, etc.).
Understanding of supervised and unsupervised ML techniques and algorithms.
Experience with model monitoring, logging, and performance evaluation tools (e.g., MLflow, Prometheus).
Strong scripting skills in Bash, PowerShell, or similar for workflow automation.
Experience with Linux Containers and orchestration platforms.
Proficient in version control systems like Git.
Ability to design secure, innovative solutions while adhering to strict security and assurance standards.
Self-motivated to contribute, enable, influence, and inspire colleagues in technical fields.

Security Clearance Statement: This role requires SC Clearance at minimum. If you don’t currently hold this level of clearance, you will need to undergo and successfully achieve SC Clearance. Please consult the UKSV NSV Agency for eligibility requirements and further guidance.

What We Can Offer: We're committed to your technical development and success, providing market-leading training, mentoring, and continuous learning opportunities. You’ll have direct access to a community of technical specialists and experts—nurturing your growth, whether you aspire to deepen as a technical expert or broaden your impact across teams and disciplines.

You’ll benefit from comprehensive packages: bonuses, private healthcare, structured career development, training budgets, and the support of a collaborative, diverse, and inclusive working environment. We make internal hiring a priority, so your progression opportunities at Thales—locally or globally—are significant.

At Thales, we celebrate talent, encourage continuous learning, and value people as our most important asset. Join us to build real, meaningful solutions with impact beyond the ordinary

#LI-CL1

In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working.

Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles.

Great journeys start here, apply now!

","hiringOrganization":{"@type":"Organization","name":"Thales","sameAs":"https://www.thalesgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Building 550 - Bristol Business Park, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"ML Ops Engineer","datePosted":"2025-08-13","description":"Location: Crawley, United Kingdom

MLOps Engineer – Crawley
Thales Group – cortAIx, UK

About cortAIx and Thales: At Thales, we focus on building and delivering robust, real-world AI and Data solutions that make a tangible impact for our customers—and society at large. Our global cortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted, operationally effective AI-powered systems for some of the most challenging and complex environments. In the UK, cacortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.

Crawley may not have a large concentration of technical experts in every business line, but it brings you close to Thales UK’s IT core—giving you the chance to drive change at scale and influence the whole UK business. You'll enjoy both depth and breadth in your work, collaborating directly with business and technical teams.

Key Responsibilities and Tasks:

Set up and configure ML environments and deployment tools such as Kubernetes, Docker, and Linux Containers.
Write scripts to automate workflows and ensure the reproducibility of ML experiments and deployments.
Conduct regular performance reviews and data audits of deployed models.
Influence and collaborate with data scientists, championing best practices to efficiently translate concepts into robust product features.
Troubleshoot issues related to model performance and technical infrastructure.
Provide support and training to team members on MLOps tools and practices; champion knowledge sharing and reusable patterns.
Create and maintain CI/CD pipelines for automating development, test, and deployment processes.
Identify and drive the adoption of reusable solutions—enabling cost-effective delivery across multiple projects and teams.
Collaborate with development and IT teams to deliver secure, scalable, and high-quality applications on the cloud, leveraging automation tools and scripts.
Work with product owners to refine and meet user needs.
Contribute actively to agile threat modelling and vulnerability management.
Ensure the compliance of solutions with security and regulatory requirements—especially high assurance, MOD-related software.
Support Customer/Solution Data Architects with data landscape coordination and cataloguing.
Support and implement 3rd party data integrations for a wide range of use cases (internal and external).

Skills and Experience Required:

Experience in MLOps, DevOps, DevSecOps, or related software or AI engineering roles in complex, regulated environments.
Proficiency with CI/CD deployment processes.
Track record of deploying software/AI solutions in complex programmes, with an emphasis on operational reliability and scalability.
Strong technical documentation and logical analytical skills—capable of problem-solving at both systems and detailed technical levels.
Experience working on Linux-based infrastructure.
Excellent knowledge of Python and at least one modern programming language for automation and ML development (e.g. Java).
Experience with PyTorch and familiarity with other ML frameworks or libraries as needed (e.g., Scikit-learn, etc.).
Understanding of supervised and unsupervised ML techniques and algorithms.
Experience with model monitoring, logging, and performance evaluation tools (e.g., MLflow, Prometheus).
Strong scripting skills in Bash, PowerShell, or similar for workflow automation.
Experience with Linux Containers and orchestration platforms.
Proficient in version control systems like Git.
Ability to design secure, innovative solutions while adhering to strict security and assurance standards.
Self-motivated to contribute, enable, influence, and inspire colleagues in technical fields.

At Thales, we celebrate talent, encourage continuous learning, and value people as our most important asset. Join us to build real, meaningful solutions with impact beyond the ordinary

#LI-CL1

Great journeys start here, apply now!

","hiringOrganization":{"@type":"Organization","name":"Thales","sameAs":"https://www.thalesgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Manor Royal Crawley, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"ML Ops Engineer","datePosted":"2025-08-18","description":"Location: Crawley, United Kingdom

MLOps Engineer – Crawley
Thales Group – cortAIx, UK

About cortAIx and Thales: At Thales, we focus on building and delivering robust, real-world AI and Data solutions that make a tangible impact for our customers—and society at large. Our global cortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted, operationally effective AI-powered systems for some of the most challenging and complex environments. In the UK, cacortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.

Key Responsibilities and Tasks:

Set up and configure ML environments and deployment tools such as Kubernetes, Docker, and Linux Containers.
Write scripts to automate workflows and ensure the reproducibility of ML experiments and deployments.
Conduct regular performance reviews and data audits of deployed models.
Influence and collaborate with data scientists, championing best practices to efficiently translate concepts into robust product features.
Troubleshoot issues related to model performance and technical infrastructure.
Provide support and training to team members on MLOps tools and practices; champion knowledge sharing and reusable patterns.
Create and maintain CI/CD pipelines for automating development, test, and deployment processes.
Identify and drive the adoption of reusable solutions—enabling cost-effective delivery across multiple projects and teams.
Collaborate with development and IT teams to deliver secure, scalable, and high-quality applications on the cloud, leveraging automation tools and scripts.
Work with product owners to refine and meet user needs.
Contribute actively to agile threat modelling and vulnerability management.
Ensure the compliance of solutions with security and regulatory requirements—especially high assurance, MOD-related software.
Support Customer/Solution Data Architects with data landscape coordination and cataloguing.
Support and implement 3rd party data integrations for a wide range of use cases (internal and external).

Skills and Experience Required:

Experience in MLOps, DevOps, DevSecOps, or related software or AI engineering roles in complex, regulated environments.
Proficiency with CI/CD deployment processes.
Track record of deploying software/AI solutions in complex programmes, with an emphasis on operational reliability and scalability.
Strong technical documentation and logical analytical skills—capable of problem-solving at both systems and detailed technical levels.
Experience working on Linux-based infrastructure.
Excellent knowledge of Python and at least one modern programming language for automation and ML development (e.g. Java).
Experience with PyTorch and familiarity with other ML frameworks or libraries as needed (e.g., Scikit-learn, etc.).
Understanding of supervised and unsupervised ML techniques and algorithms.
Experience with model monitoring, logging, and performance evaluation tools (e.g., MLflow, Prometheus).
Strong scripting skills in Bash, PowerShell, or similar for workflow automation.
Experience with Linux Containers and orchestration platforms.
Proficient in version control systems like Git.
Ability to design secure, innovative solutions while adhering to strict security and assurance standards.
Self-motivated to contribute, enable, influence, and inspire colleagues in technical fields.

At Thales, we celebrate talent, encourage continuous learning, and value people as our most important asset. Join us to build real, meaningful solutions with impact beyond the ordinary

#LI-CL1

Great journeys start here, apply now!

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Company Description

To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel where we share behind-the-scenes insights and stories direct from our team members!

Job Description

We are looking for an ML Ops Engineer to join us in Warsaw! You will be part of a team that aims to bring engine, game development tools and gameplay systems to the next level. You’ll work closely with data scientists and engineers to streamline the deployment and monitoring of machine learning models, build robust ML pipelines, and ensure our infrastructure scales with the growing needs of cutting-edge AI-driven game systems.

Daily responsibilities

Setting up, configuring and maintaining ML environments both locally and in the cloud.
Deploying, monitoring, and maintaining machine learning models in production.
Building simple web applications and interfaces for models’ interactions.
Integrating various services and systems into cohesive production solutions.
Close collaboration with Data Science, IT, and Security teams.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Electronics, Engineering, or a related field.
Proven experience in ML Ops, DevOps, or similar roles, preferably within the gaming industry or other real-time systems.
Strong experience with building, deploying, and maintaining machine learning pipelines in production environments.
Familiarity with containerization and orchestration of ML systems.
Solid understanding of CI/CD practices tailored to ML workflows.
Knowledge of model versioning, reproducibility, and data governance best practices.
Familiarity with cloud services, especially their ML-focused offerings.
Strong problem-solving skills and a proactive mindset.
Excellent communication and collaboration skills to support cross-functional teams.
A passion for games and a curiosity for how AI and machine learning can enhance interactive experiences.

Additional Information

Working mode

In-office (in a hybrid or full-time capacity).

Relocation support

Relocation package – flight ticket, company apartment for your first month, relocating your pet, shipping your belongings: it’s all covered.
Relocation assistance — processing your legalization operations for you, assistance with finding residence, tax settlements - all you need to feel right at home is taken care of.
Polish lessons for foreign employees — and for your spouse or partner, too.
Paid Leave — from 20 to 26 days of holiday for every team member per year, paid sick leave, and paid maternity & paternity leave.

Health & Well-being

Private medical healthcare — a selection of medical plans with dental care to choose from, which are also accessible for your partner and relatives.
Health checks — tests and vaccinations at the studio as well as professional advice and guidance from a specialist doctor.
Psychological care — free mental health support and various well-being webinars.
Multisport card — gain access to a wide number of sporting and fitness facilities across the city.

Perks & Professional Growth

Flexible working hours — start your workday anytime between 8:00 and 10:00 AM.
Trainings, lectures and courses — internal workshops, external training for each employee, ‘Meet a star’ events, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available.
REDs have access to the cafeteria platform through which they can receive subscription benefits, additional medical packages or vouchers and codes to shops and cinemas.
Merch — gifts for newborn rebels and regular chances to nab some cool swag!
A welcome pack filled with goodies — to help you feel right at home once you join the team.

Social Activities & Life in the Office

Dog-friendly office — dog owner? Bring your pooch with you and look after them while working! There’s always a furry friend or two to meet at the studio.
Social events — we host regular gatherings at the studio where we can all unwind, play games, and just have some fun together.
Healthy selections — organic fruit, snacks, muesli, organic honey, vegan milk, and specialty coffee are all at your disposal around the studio. Enjoy!
Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world.

If you have observed any irregularities in our recruitment process please click here to report them.

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About this role:

Wells Fargo is seeking a Senior Software Engineer.

In this role, you will:

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Strong Python programming skills
Expertise in RPA tools such as UI path
Expertise in Workflow automation tools such as Power Platform
Minimum 2 Years of hands-on experience in AI/ML and Gen AI
Proven experience in LLMs (Gemini, GPT or Llama etc.)
Extensive experience in Prompt Engineering and model fine tuning
AI/Gen AI Certifications from premier institution
Hands on experience in ML ops (MLflow, CICD pipelines)

Job Expectations:

Design and develop AI driven Automation solutions
Implement AI automation to enhance process automation
Develop and maintain automation, BOTS and AI based workflows
Integrate Ai automation with existing applications, API’s and databases
Design, develop and implement Gen AI applications using LLM’s
Build and optimize prompt engineering workflows
Fine tune and integrate pre-trained models for specific use cases
Deploy models in production using robust MLops practices

Posting End Date:

23 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Lead Software Engineer - GEN AI / LLM / ML Ops/ RPA","datePosted":"2025-07-16","description":"

About this role:

Wells Fargo is seeking a Senior Software Engineer.

In this role, you will:

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Strong Python programming skills
Expertise in RPA tools such as UI path
Expertise in Workflow automation tools such as Power Platform
Minimum 2 Years of hands-on experience in AI/ML and Gen AI
Proven experience in LLMs (Gemini, GPT or Llama etc.)
Extensive experience in Prompt Engineering and model fine tuning
AI/Gen AI Certifications from premier institution
Hands on experience in ML ops (MLflow, CICD pipelines)

Job Expectations:

Design and develop AI driven automation solutions
Implement AI automation to enhance process automation
Develop and maintain automation, BOTS and AI based workflows
Integrate Ai automation with existing applications, API’s and databases
Design, develop and implement Gen AI applications using LLM’s
Build and optimize prompt engineering workflows
Fine tune and integrate pre-trained models for specific use cases
Deploy models in production using robust MLops practices

Posting End Date:

23 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"ML Ops Engineer Specialist","datePosted":"2025-08-01","description":"

What You’ll Do

You’ll design and implement robust infrastructure to enable scalable, reliable, and reproducible machine learning workflows. You’ll streamline the lifecycle of ML models, from experimentation to deployment, ensuring our systems are production-grade and future-proof.

Build Scalable ML Infrastructure: Architect, deploy, and maintain pipelines and tooling that support versioning, training, testing, and deployment of machine learning models across a variety of environments.
Bridge Research and Production: Work closely with ML researchers, data scientists, and backend engineers to translate prototypes into efficient, production-ready services and APIs.
Focus on Automation and Reliability: Implement systems for continuous integration, model monitoring, auto-scaling, and failover, with a strong emphasis on observability and operational excellence.
Optimize Cloud Resources: Manage and optimize compute resources across cloud and hybrid environments (e.g., GCP, AWS, on-prem), reducing latency and cost while maintaining high reliability.
Document Best Practices: Document and deliver best practices in MLOps methodologies such as model versioning, reproducibility, metadata tracking, and experiment lineage..

What We Need

Professional Experience:

2+ years of experience building and maintaining ML infrastructure or platforms in production environments.
Demonstrated ability to take ML models from experimentation to deployment using MLOps best practices.
Experience collaborating with data scientists, ML engineers, and backend teams on cross-functional projects.

Technical Expertise:

Proficiency in Python and core ML tooling (e.g., MLflow, Kubeflow, Airflow, Docker, Git).
Familiarity with model training frameworks such as PyTorch, ONNX, or scikit-learn.
Experience with CI/CD pipelines tailored to ML systems (e.g., model validation checks, artifact versioning).
Comfortable managing infrastructure via cloud services (GCP, AWS) and container orchestration platforms (e.g., Kubernetes).
Strong debugging and performance tuning skills across data, model, and infrastructure layers.

Bonus (Nice to Haves):

Hands-on experience with Databricks or similar distributed compute environments.
Familiarity with data engineering tools and workflow orchestration (Spark, dbt, Prefect).
Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry) for ML systems.
Exposure to regulatory/compliance-aware ML deployment (audit logs, reproducibility, rollback strategies).

We offer a pay range of $35-to- $50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Important:

All candidates must pass an interview as part of the contracting process.

","hiringOrganization":{"@type":"Organization","name":"Invisible Technologies","sameAs":"https://www.inv.tech/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"World Wide - Remote"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"EXPERT, ML OPS ENGINEER","datePosted":"2025-06-30","description":"Expert, ML Ops Engineer - 0098L0

MLOps engineer – AI Technology

Job Profile

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

As part of the AI Technology group (70 people), we are seeking an MLOps/LLMOps engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions. We look for someone with a significant experience working on AI operational challenges, who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI software developments & integration.

Our AI platform is built on top of Azure & AWS cloud providers,and also leverages Databricks solution or products from the LangChain company.

If you're excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home.

Responsibilities

· Contribute to the industrialization of the ML & GenAI technical stacks of our AI Platform, by participating to their definition, architecture, development, test, documentation & maintenance phases

· Ensure the development process of this stack follows the DevSecOps recommendations & best practices

· Write ML pipelines and LLM applications examples to illustrate the AI Platform capabilities

· Contribute to the CI/CD workflows developments to automate the integration and deployment of the various ML assets (code or models) into the different environments

· Contribute to the definition of the LLMOps / MLOps operating model and make sure the AI Platform enforces this model

· Collaborate with our internal stakeholders to co-design the new features of the AI Platform

· Regularly be embarked into one of our internal stake holders' teams to bring support & expertise on the usage of the AI platform and AI topics and, in return, collect platform evolution needs

· Occasionally contribute to the collective effort of run & support for the AI Platform

· Contribute to the technical watch on ML & GenAI topics

Qualifications

Requirements and Skills

· Technical skills:

· First experiences as data scientist

· Previous experiences as MLOps engineer or AI engineer are required

· Past experiences of deploying ML & GenAI applications up to production are required

· Past experiences of operating ML & GenAI applications in production are required

· Strong knowledge in the domain of ML, LLM, GenAI and Agentic AI

· Very good knowledge of MLOps & LLMOps practices

· Master DevOps tools & processes: CI/CD, GitHub, GitHub actions

· Master Python programming language

· Master Azure AI Services (Azure ML Services, Azure AI Foundry, Azure OpenAI) or AWS AI Services (AWS SageMaker, Bedrock)

· Good general knowledge of at least one of the following cloud service providers stacks: Azure or AWS

· Knowledge of LangChain products (LangChain, LangSmith, LangGraph) is a plus

· Knowledge of databricks is a plus

· Familiar with agile methodologies: Scrum, SAFe

· Soft skills:

· Rigorous mindset, but still open to changes

· Autonomous and good team player

· Curious

· Like to coach, teach and bring support to others

· At ease in an international work environment

· Fluent English

· Effective communication skills (clear, concise)

Primary Location

: IN-Karnataka

Schedule

: Full-time

Unposting Date

: Mar 31, 2025, 3:59:00 PM","hiringOrganization":{"@type":"Organization","name":"Schneider Electric","sameAs":"https://www.se.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN-Karnataka","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"ML Ops Engineer Specialist","datePosted":"2025-08-07","description":"

What You’ll Do

Build Scalable ML Infrastructure: Architect, deploy, and maintain pipelines and tooling that support versioning, training, testing, and deployment of machine learning models across a variety of environments.
Bridge Research and Production: Work closely with ML researchers, data scientists, and backend engineers to translate prototypes into efficient, production-ready services and APIs.
Focus on Automation and Reliability: Implement systems for continuous integration, model monitoring, auto-scaling, and failover, with a strong emphasis on observability and operational excellence.
Optimize Cloud Resources: Manage and optimize compute resources across cloud and hybrid environments (e.g., GCP, AWS, on-prem), reducing latency and cost while maintaining high reliability.
Document Best Practices: Document and deliver best practices in MLOps methodologies such as model versioning, reproducibility, metadata tracking, and experiment lineage..

What We Need

Professional Experience:

2+ years of experience building and maintaining ML infrastructure or platforms in production environments.
Demonstrated ability to take ML models from experimentation to deployment using MLOps best practices.
Experience collaborating with data scientists, ML engineers, and backend teams on cross-functional projects.

Technical Expertise:

Proficiency in Python and core ML tooling (e.g., MLflow, Kubeflow, Airflow, Docker, Git).
Familiarity with model training frameworks such as PyTorch, ONNX, or scikit-learn.
Experience with CI/CD pipelines tailored to ML systems (e.g., model validation checks, artifact versioning).
Comfortable managing infrastructure via cloud services (GCP, AWS) and container orchestration platforms (e.g., Kubernetes).
Strong debugging and performance tuning skills across data, model, and infrastructure layers.

Bonus (Nice to Haves):

Hands-on experience with Databricks or similar distributed compute environments.
Familiarity with data engineering tools and workflow orchestration (Spark, dbt, Prefect).
Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry) for ML systems.
Exposure to regulatory/compliance-aware ML deployment (audit logs, reproducibility, rollback strategies).

Important:

All candidates must pass an interview as part of the contracting process.

We are looking for independent consultants & contractors who run/operate their own business

","hiringOrganization":{"@type":"Organization","name":"Invisible Technologies","sameAs":"https://www.inv.tech/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"ML Ops Engineer Specialist","datePosted":"2025-08-07","description":"

What You’ll Do

Build Scalable ML Infrastructure: Architect, deploy, and maintain pipelines and tooling that support versioning, training, testing, and deployment of machine learning models across a variety of environments.
Bridge Research and Production: Work closely with ML researchers, data scientists, and backend engineers to translate prototypes into efficient, production-ready services and APIs.
Focus on Automation and Reliability: Implement systems for continuous integration, model monitoring, auto-scaling, and failover, with a strong emphasis on observability and operational excellence.
Optimize Cloud Resources: Manage and optimize compute resources across cloud and hybrid environments (e.g., GCP, AWS, on-prem), reducing latency and cost while maintaining high reliability.
Document Best Practices: Document and deliver best practices in MLOps methodologies such as model versioning, reproducibility, metadata tracking, and experiment lineage..

What We Need

Professional Experience:

2+ years of experience building and maintaining ML infrastructure or platforms in production environments.
Demonstrated ability to take ML models from experimentation to deployment using MLOps best practices.
Experience collaborating with data scientists, ML engineers, and backend teams on cross-functional projects.

Technical Expertise:

Proficiency in Python and core ML tooling (e.g., MLflow, Kubeflow, Airflow, Docker, Git).
Familiarity with model training frameworks such as PyTorch, ONNX, or scikit-learn.
Experience with CI/CD pipelines tailored to ML systems (e.g., model validation checks, artifact versioning).
Comfortable managing infrastructure via cloud services (GCP, AWS) and container orchestration platforms (e.g., Kubernetes).
Strong debugging and performance tuning skills across data, model, and infrastructure layers.

Bonus (Nice to Haves):

Hands-on experience with Databricks or similar distributed compute environments.
Familiarity with data engineering tools and workflow orchestration (Spark, dbt, Prefect).
Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry) for ML systems.
Exposure to regulatory/compliance-aware ML deployment (audit logs, reproducibility, rollback strategies).

Important:

All candidates must pass an interview as part of the contracting process.

We are looking for independent consultants & contractors who run/operate their own business

","hiringOrganization":{"@type":"Organization","name":"Invisible Technologies","sameAs":"https://www.inv.tech/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina","addressCountry":"Argentina","addressRegion":"South America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Principal ML Ops Engineer","datePosted":"2025-08-17","description":"

Sift Healthcare is seeking a skilled ML Ops Engineer to join our growing data science team. This role will focus on deploying, optimizing, and monitoring machine learning and Generative AI models in production environments. It requires a blend of engineering expertise and an understanding of machine learning principles. You will collaborate closely with GenAI Developers, Data Scientists, and Engineers to ensure our machine learning and GenAI infrastructure is robust and scalable.

Experience working with PII/PHI/HIPAA data is required. Experience working with healthcare data is also required. A Wisconsin resident is preferred for this role, but remote candidates will be considered.

RESPONSIBILITIES

Design and implement robust ML Ops infrastructure that supports efficient and scalable deployment of machine learning models in production. Experience with GenAI infrastructure is a plus.
Develop and implement CI/CD pipelines for model serving.
Develop and maintain monitoring systems to track model performance.
Implement and utilize containerization technologies such as Docker and orchestration tools like Dagster.
Partner with Data Scientists, GenAI Developers, and Engineers to ensure models are production ready.
Champion best practices in ML Ops and assist Data Scientists in code review and code quality.
Stay current on the latest advancements in ML Ops and lead efforts to integrate new technologies into our platform.
Provide technical guidance to other members of the ML Ops and Data Science team.

QUALIFICATIONS

Master's degree in Computer Science, Data Science, or a related field (or equivalent experience)
5+ years of experience as an ML Ops Engineer or Data Scientist, with a focus on deploying and managing machine learning infrastructure and models in production.
Expertise with infrastructure-as-code frameworks. Terraform experience is preferred.
Strong understanding of CI/CD pipelines, containerization technologies (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure). AWS, Docker, and Dagster experience preferred.
Familiarity with monitoring tools and dashboards for tracking model performance.
Experience with healthcare data. Experience with revenue cycle and payments data is preferred.
Excellent communication and collaboration skills.
Strong leadership experience and the ability to mentor a team

COMPENSATION

Compensation will be based on skills, experience and performance. In addition to a , this position is eligible for significant performance bonuses and benefits.

ABOUT SIFT HEALTHCARE

Sift is a data science company working to improve payments operations and outcomes in the healthcare industry. Sift equips healthcare organizations to fully leverage their payments data to work smarter, protect their margins, and accelerate cash flow. Large health systems, leading HCIT vendors, payers, and outsourced revenue management agencies use Sift's Payments Intelligence Platform, ML integrations, and advanced analytics to optimize payment outcomes and enable data-driven decision-making within the revenue cycle.

We are a growing and dynamic team that is serious about the application of technology to healthcare. Based in Milwaukee, Wisconsin, Sift is thriving and looking for motivated team members who will help shape our culture. Sift offers competitive salaries and benefits. Learn more about Sift at www.sifthealthcare.com.

SCAM ALERT: There is an active nationwide employment scam which is now using Sift Healthcare to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If a Sift Recruiter contacts you, please ensure whomever is contacting you truly represents Sift Healthcare. We will never ask for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Sift.

","hiringOrganization":{"@type":"Organization","name":"Sift Healthcare","sameAs":"https://www.sifthealthcare.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"AI/ML Ops Engineer","datePosted":"2025-08-18","description":"

About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Role

- We are seeking a seasoned AI/ML Engineer to join our Cloud Operations (CloudOps) team. The ideal candidate should have strong expertise in designing, developing, and deploying AI/ML models and automation solutions that optimize cloud infrastructure management and operational efficiency.

Primary Responsibilities

- Design, develop, and deploy machine learning models and AI algorithms to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance.

- Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to to integrate AI/ML solutions into cloud orchestration and management platforms.

- Build scalable data pipelines and workflows using cloud-native services (preferably AWS, GCP) for real-time and batch ML model training and inference.

- Analyze large volumes of cloud telemetry data (logs, metrics, traces) to extract actionable insights using statistical methods and ML techniques.

- Implement anomaly detection, capacity forecasting, resource optimization, and automated remediation solutions.

- Develop APIs and microservices to expose AI/ML capabilities for CloudOps automation.

- Work with SecOps to ensure ML models comply with privacy, and governance standards.

- Optimize existing AI/ML workflows for cost, performance, and accuracy.

- Stay updated with the latest trends in AI/ML, cloud computing, and infrastructure automation.

Skills & Requirements

- 6+ years of professional experience in AI/ML engineering, preferably in cloud infrastructure or operations environments.

- Strong proficiency in Python (relevant libraries such as pandas and numpy) or R, or similar programming languages used in AI/ML development.

- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.

- Hands-on experience with MCP Server, AI Agents, and A2A (Agent-to-Agent) communication

- Experience with Large Language Model (LLM) operations (LLM Ops)

- Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., SageMaker, Bedrock, Anthropic, Azure ML, OpenAI, Vertex AI).

- Strong understanding of data structures, algorithms, and statistical modeling.

- Experience building and maintaining data pipelines using tools like Apache Spark, Kafka, Airflow, or cloud-native alternatives.

- Knowledge of containerization and orchestration (Docker, Kubernetes) to deploy ML models in production.

- Familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack) and cloud management platforms.

- Experience with CI/CD pipelines and automation tools in cloud environments.

- Excellent problem-solving skills and ability to work independently as well as in cross-functional teams.

- Strong communication skills for collaborating with technical and non-technical stakeholders.

- Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation.

- Experience with cybersecurity principles related to cloud and AI/ML systems.

All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

","hiringOrganization":{"@type":"Organization","name":"Automation Anywhere","sameAs":"https://www.automationanywhere.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"AI ML Ops Engineer","datePosted":"2025-08-14","description":"

We are seeking an AI/ML Ops Engineer who is passionate about transforming AI/ML capabilities, especially Natural Language Processing (NLP) and Large Language Models (LLMs/Generative AI), into tangible, high-value features within modern software systems. This role supports a major digital modernization initiative focused on workforce development infrastructure across Puerto Rico.

You will focus on automating the deployment, integration, and operationalization of AI capabilities, working with pre-trained and custom models to ensure they are seamlessly embedded into production systems for measurable business and user impact. This includes designing and managing scalable AI/ML pipelines, integrating models with cloud-native platforms, and ensuring solutions remain reliable, explainable, and continuously optimized.

This position requires strong MLOps expertise, technical curiosity, and the ability to engage directly with clients, data scientists, and engineers. The work supports a modular, cloud-native platform that spans multiple local development areas and improves public service delivery across Puerto Rico.

Job Location: This position is based in Puerto Rico.

What you’ll be doing:

Participate in client and stakeholder sessions to identify automation opportunities and requirements for AI integration, focusing on practical deployment within existing and new systems.
Implement AI-driven automation using a mix of pre-trained and fine-tuned models, including NLP and LLM-based solutions, for tasks such as text generation, summarization, classification, and conversational interfaces.
Work with data scientists and developers to package and deploy AI capabilities via CI/CD pipelines and container orchestration tools.
Integrate cloud-hosted AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, OpenAI, Azure OpenAI) into production systems with security, scalability, and compliance in mind.
Apply AI-augmented coding best practices to accelerate development cycles and improve code quality through intelligent tooling and automated testing.
Automate AI workflows for ingestion, inference, retraining, and performance optimization, ensuring sustained business value.
Implement monitoring solutions for AI feature performance, including drift detection and usage analytics, with triggers for updates or recalibration.
Collaborate with software engineers and DevOps teams to ensure seamless integration of AI services into broader platform architecture.

What you must have:

Bachelor’s degree (e.g., Computer Science, Data Engineering, AI/ML, or related discipline).
3+ years of experience in AI/ML operations, AI automation, or integrating AI capabilities into production systems.
3+ years of experience working with Natural Language Processing tools, APIs, or frameworks (spaCy, Hugging Face Transformers, OpenAI API, Azure OpenAI).
2+ years of experience with Large Language Models (Generative AI) and their application in real-world software solutions.
2+ years building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab CI).
3+ years of experience in Python for integrating and orchestrating AI services; familiarity with MLflow, Kubeflow, or similar frameworks a plus.
3+ years of experience in cloud-native ML/AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and containerization/orchestration (Docker, Kubernetes).
US Citizen or Permanent Lawful Resident (Green Card Holder) preferred.
Employment must be compliant with eligibility for Public Trust Clearance due to Government Contract.

Technologies you’ll use:

Programming & AI: Python, R, TensorFlow, PyTorch, scikit-learn, Hugging Face, spaCy
MLOps/Automation: MLflow, Kubeflow, Airflow, Prefect
Cloud AI Services: AWS SageMaker, Azure ML, Azure OpenAI, GCP Vertex AI, OpenAI API
DevOps: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions
Data Engineering: SQL, Spark, Databricks, Kafka
Collaboration: Confluence, Jira, SharePoint, Mural/Miro

What we’d like you to have:

Experience implementing AI model governance and compliance frameworks in production.
Knowledge of data versioning (DVC, Delta Lake) and feature store concepts.
Familiarity with AI service cost optimization and performance tuning strategies.
Strong understanding of monitoring, alerting, and logging for AI-enabled applications.
Ability to translate complex AI capabilities into user-friendly, maintainable, and secure system features.
Experience with Agile development and iterative delivery cycles.

Why you’ll love working here:

Generous vacation and retirement plans
Comprehensive health benefits
Flexible work environment
Ongoing training and development opportunities
Inclusive and collaborative culture
Meaningful work that impacts communities

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$66,701.00 - $113,391.00

Puerto Rico Remote Office (PR99)","hiringOrganization":{"@type":"Organization","name":"ICF","sameAs":"https://www.icf.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Puerto Rico Remote Office (PR99), United States","addressCountry":"Puerto Rico","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"ML Engineering - ML Ops","datePosted":"2025-08-14","description":"

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

Workday was founded on a vision to revolutionize enterprise software, built on a culture that puts people first. Our success is driven by a collaborative, employee-centric environment, where Workmates thrive and contribute to a greater purpose. We prioritize our people, communities, and the planet while maintaining profitability. Here, you’re encouraged to be yourself, embrace your energy and passion, and help shape the future. Join us in creating a brighter Workday for all!

Come join the Workday Search/Assistant team! We are part of the Employee Experience organization that enables employers to better engage and support their people while making work more personal and productive.

Workday is looking for a hardworking Machine Learning Operations engineer to contribute to the strategic mission of reaching workers where they are at. You will join an energetic, open minded and supportive group of engineers to redefine how workers engage with Enterprise applications. If you have a willingness to explore the unknown, be a technological pioneer and have passion around improving customer experiences then we want to hear from you!

About the Role

As a machine learning engineer passionate about ML Ops, you will

Implement MLOps tools, frameworks, and platforms to support ML development, deployment, and governance
Create and maintain a repeatable and reusable ML workflow for model training, evaluation, deployment, and maintenance
Improve tracking and monitoring of models, experiments, artifacts, and data
Engage with data engineers and data scientists in feature engineering efforts
Diagnose and resolve ML workflow and production issues quickly

We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people.

About You

Highly self-motivated, always looking to take on work and get great pleasure from delivering production scale machine learning solutions to customers
A collaborative teammate who uses positive leadership to coordinate and deliver results across teams
A fast learner, detail oriented, decisive, and enjoys a fast-paced work environment
Flexible, reliable, outgoing and has a positive work attitude.

Basic Qualifications

3+ years understanding of Python in both production and ETL settings
2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or other similar cloud native services
2+ years experience on AWS, Vertex AI, and Kubernetes
2+ years experience in operationalization of Data Science projects using at least one of the popular frameworks or platforms (e.g. Airflow, Kubeflow, AWS Sagemaker, Google AI Platform) - Kubeflow in particular is a plus
1+ years experience building both data / ETL pipelines as well as model training infrastructure, and working with GPUs
1+ years Experience managing and supporting Docker, Kubernetes, Spark, CI/CD, Git-Ops
1+ years Experience with data versioning, ML model management, lifecycle, and reproducibility

Other Qualifications

Experience with ML frameworks such as PyTorch, Keras, Transformers, SKLearn
Experience with fine-tuning NLP models and with HuggingFace
Experience with AWS services especially EKS
1+ years with MLOps tools like TFX, MLFlow, Kubeflow, Apache Spark, etc.
B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering). M.S. or Ph.D are nice, but not required

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.Vancouver

Primary CAN Base Pay Range: $122,400 - $183,600 CAD

Additional CAN Location(s) Base Pay Range: $122,400 - $183,600 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote \"home office\" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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About Firstbase

Tens of thousands of businesses — from newly incorporated startups to public enterprises — rely on Firstbase to streamline compliance, finance, analytics, and every part of the back office. It is one platform to run your entire company.

Our goal is to make running a business feel like magic. We make it possible by owning the general ledger and unifying data across all business functions. Compliance tasks are flagged — and often resolved — automatically. Real-time business metrics are accurate, accessible, and easy to understand. And if you need to hire a new employee, send an invoice, or file taxes, you can do it from the same interface.

We’re bundling what’s never been bundled. We’re not building an incorporation tool. We’re not building an ERP. We’re not building an \"AI accountant.\" We are creating a new category entirely: the Company OS.

How we work

We cherish the moments when noise fades and we move with clarity, confidence, and focus — doing the right thing at the right time. These moments are when our best work happens, and we strive to create more of them.

We value craftsmanship over busyness, clarity over complexity, and resilience above all — whether it takes hard work or patience. We aim high, avoid mediocrity, and speak with fearless transparency.

We believe in accelerated career progression and take pride in growing talent from within, always preferring to promote our own before looking externally.

About the team

We are a lean and highly collaborative group of engineers who play a central role in shaping product decisions and delivering an exceptional experience to a global audience of founders. We value clean, well-tested code, thoughtful reviews, and simplicity in everything we build. From writing production-grade Golang services to owning end-to-end software projects, we work closely together to drive clarity, scalability, and impact.

Our product is built using PHP, Golang, Node.js, Vue, MySQL, PostgreSQL, AWS. We also use Redis, Vue Router, Vuex, Docker Compose, Docker, GitLab CI, and Graylog, and some third-party API's like Stripe. We use Slack, Clubhouse, Notion, Whimsical, Figma, and G Suite to collaborate and build together.

What you will do

Join one of the most impactful engineering roles at Firstbase — scale a high-growth platform, shape critical technical decisions, and lead a world-class team driving innovation and excellence.

Your responsibilities will include:

Architect Scalable ML Infrastructure: Design and maintain robust ML environments on Databricks, using Unity Catalog, feature stores, and Apache Spark to enable high-performance workflows.
Automate the Model Lifecycle: Build pipelines for training, retraining, validation, and deployment — ensuring speed, reliability, and reproducibility.
Implement Monitoring & Drift Detection: Create frameworks for continuous monitoring of data and model drift, keeping production models accurate and reliable.
Low-Latency Execution: Develop and optimize real-time ML pipelines, including reinforcement learning (RL) applications such as Contextual Bandits.
Establish CI/CD for ML: Set up and maintain CI/CD processes for ML workflows, integrating Databricks with Git-based systems and automated testing.
Define Best Practices: Lead the creation of standards for model versioning, calibration, and documentation across the ML lifecycle.

You should meet the following requirements

Be based in a LatAm country (although the position is remote)
3+ years in MLOps, ML Engineering, or Data Engineering, with direct experience deploying ML workflows into production.
4+ years of Engineering experience.
2–3 years of working with Databricks, Apache Spark, MLflow, Unity Catalog, and feature stores.
Hands-on experience with ML lifecycle tools such as MLflow, Kubeflow, or Airflow.
Strong understanding of CI/CD pipelines, Git workflows, and automation.
Expertise in model performance tracking, drift detection, and retraining strategies.
Mediocrity is your enemy. You don’t stop until you get to \"great.\" You’re relentless in pursuit of excellence.
You speak your mind, challenge assumptions, and present ideas clearly — no fear of conflict. Proficiency in English is essential for effective communication across teams and with international stakeholders
Nice to have
Experience in previous jobs working with financial products.
1+ years hands-on with LLMs and GenAI techniques — prompt engineering, retrieval-augmented generation (RAG), agents, etc.

Perks & benefits

Competitive salary & equity: We offer top-of-market pay and a generous equity package — so you’re rewarded not just for your work today, but for the future you help create.
Generous raises & stock refreshers: Your impact deserves recognition. We review compensation quite frequently to ensure you're rewarded as your role grows — including stock refreshers so you continue to share in the upside of what we’re building together.
Flexible work setup: We offer the freedom to work remotely, embracing diverse work styles, while NYC-based team members can opt for a hybrid setup, spending some days in the office to foster collaboration.
PTO & other time off benefits: Take the opportunity to rest and recharge. No questions asked — it’s time to disconnect and come back stronger. Plus, paid sick days, your birthday off, and national holidays.
Gear to Thrive: We provide a renewable stipend on day one and every two years to create your perfect work setup — laptops, headphones, and more. It’s about giving you the tools to do your best work.
Comprehensive health benefits: Comprehensive health insurance reimbursement arrangement. No matter where you are, you’re covered.
Learning & development: We invest in your growth through a dedicated stipend for courses, events, and anything that helps you sharpen your skills and grow in your craft.
Parental Leave: We support you through life’s big moments — maternity, paternity, or adoption — with fully paid time off.
Generous annual bonuses that grow: Expect a bonus that reflects your hard work — usually about 10% of your base salary in the first year. From your second year, a 20% annual multiplier boosts this, rewarding your consistent performance.
Company Gatherings: We host annual retreats, quarterly in-person leadership planning, and occasional co-working days and happy hours — all fully covered to help us connect and have fun in person.
Vacation bonus: After 3 years at Firstbase, you'll receive a generous vacation bonus to take that dream trip. It’s our way of saying \"thank you\" for your commitment — we’re here for the long haul, and we want you to enjoy the ride.
Visa sponsorship: We support the best talent — wherever you are from. Firstbase offers visa sponsorship and renewal assistance if you are already in the US, or are looking to move to join our NYC-based team.
Accelerated career progression: We grow from within. When new roles open up, we look to our own team first — because we believe in recognizing potential, rewarding performance, and giving our people the opportunity to level up.

Interested?

Even if you don’t check every single box but you’re passionate about the role and want to help build something great, we still want to hear from you. We value diverse experiences and unique perspectives.

Want to work at Firstbase but don’t see an opening that fits your experience? Email us at careers@firstbase.io — we will often “create” a role around a great candidate.

","hiringOrganization":{"@type":"Organization","name":"Firstbase","sameAs":"https://firstbase.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (LatAm)"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Software Engineer - GEN AI /Python / LLM / ML Ops/ RPA","datePosted":"2025-07-16","description":"

About this role:

Wells Fargo is seeking a Senior Software Engineer.

In this role, you will:

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Strong Python programming skills
Expertise in RPA tools such as UI path
Expertise in Workflow automation tools such as Power Platform
Minimum 2 Years of hands-on experience in AI/ML and Gen AI
Proven experience in LLMs (Gemini, GPT or Llama etc.)
Extensive experience in Prompt Engineering and model fine tuning
AI/Gen AI Certifications from premier institution
Hands on experience in ML ops (MLflow, CICD pipelines)

Job Expectations:

Design and develop AI driven Automation solutions
Implement AI automation to enhance process automation
Develop and maintain automation, BOTS and AI based workflows
Integrate Ai automation with existing applications, API’s and databases
Design, develop and implement Gen AI applications using LLM’s
Build and optimize prompt engineering workflows
Fine tune and integrate pre-trained models for specific use cases
Deploy models in production using robust MLops practices

Posting End Date:

23 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Software Engineer - GEN AI /Python / LLM / ML Ops/ RPA","datePosted":"2025-07-16","description":"

About this role:

Wells Fargo is seeking a Senior Software Engineer.

In this role, you will:

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Strong Python programming skills
Expertise in RPA tools such as UI path
Expertise in Workflow automation tools such as Power Platform
Minimum 2 Years of hands-on experience in AI/ML and Gen AI
Proven experience in LLMs (Gemini, GPT or Llama etc.)
Extensive experience in Prompt Engineering and model fine tuning
AI/Gen AI Certifications from premier institution
Hands on experience in ML ops (MLflow, CICD pipelines)

Job Expectations:

Design and develop AI driven Automation solutions
Implement AI automation to enhance process automation
Develop and maintain automation, BOTS and AI based workflows
Integrate Ai automation with existing applications, API’s and databases
Design, develop and implement Gen AI applications using LLM’s
Build and optimize prompt engineering workflows
Fine tune and integrate pre-trained models for specific use cases
Deploy models in production using robust MLops practices

Posting End Date:

23 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Software Engineer - GEN AI /Python / LLM / ML Ops/ RPA","datePosted":"2025-07-16","description":"

About this role:

Wells Fargo is seeking a Senior Software Engineer.

In this role, you will:

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Strong Python programming skills
Expertise in RPA tools such as UI path
Expertise in Workflow automation tools such as Power Platform
Minimum 2 Years of hands-on experience in AI/ML and Gen AI
Proven experience in LLMs (Gemini, GPT or Llama etc.)
Extensive experience in Prompt Engineering and model fine tuning
AI/Gen AI Certifications from premier institution
Hands on experience in ML ops (MLflow, CICD pipelines)

Job Expectations:

Design and develop AI driven Automation solutions
Implement AI automation to enhance process automation
Develop and maintain automation, BOTS and AI based workflows
Integrate Ai automation with existing applications, API’s and databases
Design, develop and implement Gen AI applications using LLM’s
Build and optimize prompt engineering workflows
Fine tune and integrate pre-trained models for specific use cases
Deploy models in production using robust MLops practices

Posting End Date:

23 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Machine Learning Engineer (ML Ops)","datePosted":"2025-08-18","description":"

F-Secure makes every digital moment more secure, for everyone. For over 35 years, we’ve led the cyber security industry, protecting tens of millions of people online together with our 200+ service provider partners. We value our Fellows' individuality, with an inclusive environment where diversity drives innovation and growth. What makes you unique is what we value – be yourself, that is (y)our greatest asset. Founded in Finland, F‑Secure has offices in Europe, North America and Asia Pacific.

\n\n

About the role

We are looking for Machine Learning Engineers to join our Technology team in Bengaluru! At F-Secure, we're building the next generation of AI-powered cybersecurity defenses that protect millions of users globally. Our ML models operate in dynamic environments where threat actors constantly evolve their techniques.

We're looking for a motivated MLOps Engineer who has the foundational knowledge to help transition ML models from research to production systems. This is an excellent opportunity to develop your skills in a real-world cybersecurity context with meaningful impact.

The Technical Challenge

You’ll grow your skills by working on exciting challenges that combine software engineering and machine learning as part of our internal team, the Scam Decipherers. (If you’re detail-oriented, include the phrase “Scam Decipherers assemble!” in your cover letter - we use it to spot sharp minds.):

ML Pipeline Development: Contribute to building and maintaining ML pipelines that detect sophisticated threats in real-world environments
Threat Intelligence Systems: Help develop systems that analyse large volumes of online queries, behavioural events, and suspicious files
Model Monitoring: Implement frameworks for evaluating model performance and identifying when models need retraining
LLM Implementation: Gain hands-on experience deploying and optimizing LLMs for security applications like threat intelligence analysis and phishing detection

\nThis role will be located in Bengaluru, India. You can choose whether you work at our Bengaluru office, or in a hybrid mode from your home office. We hope you are able to join us for common gatherings at the Bengaluru office when needed.

\n\n

What Makes This Role Great for Growth

This role at F-Secure offers unique advantages for developing your MLOps skills:

You'll work on real-world models that have actual impact on cybersecurity
You'll learn how ML systems operate under challenging conditions with real performance requirements
You'll collaborate with experienced data scientists and security researchers who can mentor your growth
You'll see the direct impact of your work on protecting users worldwide
You'll develop specialized knowledge in applying AI to cybersecurity - an increasingly valuable skill set

\n\n

What are we looking for?

ML Pipeline Knowledge: Understanding ML workflows, deployment challenges (through work, studies or personal projects), and basic knowledge on monitoring ML systems.\n
Cloud & Infrastructure Skills: Experience with cloud platforms through work, studies or personal projects (AWS, Azure, GCP), understanding of containerization concepts (Docker), and infrastructure as code approaches.\n
Model Evaluation Understanding: Knowledge of ML evaluation metrics, interpreting performance reports, and interest in learning how to detect and address model drift.\n
LLM Awareness: Basic understanding of LLMs, prompt engineering, and deployment in production.\n
Engineering Fundamentals: Solid Python skills, version control (Git), understanding of basic CI/CD concepts, and best practices for production code.

\n\n

How to Apply

If you have a solid foundation in ML concepts and software engineering, with an eagerness to learn and grow in MLOps, we want to hear from you.

To apply, please submit:

Your resume highlighting relevant projects and any work experience
A detailed description of your experience with production ML systems - include specific examples of:
ML pipelines you've built or contributed to
- Challenges you faced in production environments
- How you monitored and improved model performance
- Your role in the production deployment process
Links to any projects, code samples, or GitHub repositories (highly encouraged!)

\n\n

What will you get from us?

You will work together with experienced and enthusiastic colleagues, and within F-Secure you will find some of the best minds in the cyber security industry.
We actively encourage our Fellows to grow and develop within F-Secure, and in your career here you can find yourself contributing to any number of our other products and teams. You decide what to make of this role, what your priorities are, and how you organize your work for the best benefit to us all.
We offer interesting challenges and a competitive compensation model with wide range of benefits. You get a chance to develop yourself professionally in an international and highly motivated team serving our customers in providing world class security, privacy and uncensored access to information online.
You get to work in a flexible, agile, and dynamic working environment that supports individual needs. Giving our people both support and the opportunity to be in charge of their own work is something that is in our DNA.
We are in a unique phase in our 30-year history and with curiosity and excitement in the air we see no limits for building a strong and fruitful career with us!

A security vetting will possibly be conducted for the selected candidate in accordance to our employment process.

","hiringOrganization":{"@type":"Organization","name":"F-Secure","sameAs":"https://www.f-secure.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"ML Engineer / ML Ops Engineer","datePosted":"2025-08-20","description":"

Task Description: • University Degree in Computer Science, Information Technology, or related field
• 5+ years of experience in the Machine Learning Operations role
• Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
• Take offline models data scientists build and turn them into a real machine learning production system
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Communicate with clients to build requirements and track progress
• Strong analytic skills related to working with structured, semi structured and unstructured datasets
• Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reductio

","hiringOrganization":{"@type":"Organization","name":"Encora","sameAs":"https://www.encora.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai (OMR Road)","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Machine Learning Engineer – ML Ops & Support","datePosted":"2025-08-14","description":"Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud™, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world’s largest brands.
We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster.
This position is also a strong career pathway into ML feature development — you will work closely with Product, Data Science, and Engineering teams, gain exposure to LLMs, Agentic AI, and advanced ML tooling, and progressively take on more responsibilities in building new ML-powered product features.
\n

Responsibilities

Monitor, troubleshoot, and maintain ML pipelines and services in production, ensuring high availability and minimal downtime.
Work closely with Data Scientists and Engineers to operationalize ML/LLM models, from development through deployment.
Build and maintain observability tools for tracking data quality, model performance, drift detection, and inference metrics.
Support LLM and Agentic AI features in production, focusing on stability, optimization, and seamless integration into the platform.
Develop and enhance internal ML tooling for faster experimentation, deployment, and feature integration.
Collaborate with Product teams to roll out new ML-driven features and improve existing ones.
Work with DevOps to improve CI/CD workflows for ML code, data pipelines, and models.
Optimize resource usage and costs for large-scale model hosting and inference.
Document workflows, troubleshooting guides, and best practices for ML systems support.

About You

B.E./B.Tech in Computer Science, Engineering, or related field.3–5 years of experience in software engineering, ML Ops, or ML platform support.
Strong Python skills, with experience in production-grade code and automation. Experience with ML pipeline orchestration tools (Airflow, Prefect, Kubeflow, or similar).
Familiarity with containerized microservices (Docker, Kubernetes) and CI/CD pipelines.
Experience monitoring ML systems using tools like Prometheus, Grafana, ELK, Sentry, or equivalent.
Understanding of model packaging and serving frameworks (FastAPI, TorchServe, Triton Inference Server, Hugging Face Inference API).
Strong collaboration skills with cross-functional teams.

Good to Have

Exposure to LLM operations (prompt engineering, fine-tuning, inference optimization).Familiarity with Agentic AI workflows and multi-step orchestration (LangChain, LlamaIndex).
Experience with data versioning (DVC, Delta Lake) and experiment tracking (MLflow, Weights & Biases).
Knowledge of vector databases (Pinecone, Weaviate, FAISS).
Experience with streaming data (Kafka) and caching (Redis).
Skills in cost optimization for GPU workloads.
Basic understanding of system design for large-scale AI infrastructure.

If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!
Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.","hiringOrganization":{"@type":"Organization","name":"Aera Technology","sameAs":"https://www.aeratechnology.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Tech Lead Platform Engineer - AI & ML Ops","datePosted":"2025-07-18","description":"Managing pricing and rebates shouldn’t be a hassle. Enable’s intelligent platform is built for the speed of today’s market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management. After securing $291M in Series A-D funding and acquiring Flintfox in 2025, Enable is positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier professionals committed to reshaping the industry. Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey.
Job Summary
We are seeking a Tech Lead Platform Engineer – AI & MLOps to drive the evolution of Enable’s cloud-native platform, ensuring scalability, reliability, and efficiency across all aspects of our SaaS infrastructure. This role will focus on architecting and optimizing our platform for high-performance distributed systems while also enabling machine learning (MLOps) capabilities for AI-driven applications.
As a key technical leader, you will collaborate across teams to develop best-in-class platform solutions that support product engineering, data engineering, and AI/ML teams. You will establish best practices, automate workflows, and ensure that Enable’s infrastructure is secure, resilient, and future-proof.

\n

Key Responsibilities - SaaS Platform Engineering:

Design, build, and optimize a cloud-native, multi-tenant SaaS platform that scales with Enable’s rapid growth.
Develop and maintain core infrastructure components, including compute, networking, observability, and CI/CD pipelines.
Implement best practices for cloud cost optimization, security, and system reliability.
Enhance API gateways, identity management, and service orchestration for seamless integration across services.

Key Responsibilities - MLOps & AI Infrastructure:

Architect and manage scalable AI/ML pipelines for model training, deployment, and monitoring.
Develop and maintain MLOps workflows using tools like Kubeflow and MLflow.
Optimize ML model inference for real-time and batch processing in a production SaaS environment.
Collaborate with data scientists and ML engineers to streamline model lifecycle management.

Key Responsibilities - Automation, Observability & Performance:

Implement and refine Infrastructure-as-Code (IaC) practices using Terraform or Pulumi.
Build self-healing, automated monitoring solutions for system health, application performance, and security.
Improve CI/CD processes to support high-velocity engineering teams with minimal operational overhead.
Establish robust logging, tracing, and metrics collection for visibility into SaaS application performance.

Key Responsibilities - Cross-Functional Collaboration & Leadership:

Work closely with engineering teams to ensure platform capabilities support product innovation and reliability.
Partner with security teams to ensure compliance with SaaS security and compliance standards and best practices.
Implement monitoring, logging, and alerting solutions to track model and system performance, ensuring compliance with best practices.
Define and document platform engineering best practices to elevate team-wide capabilities.
Mentor junior and mid-level engineers, fostering a culture of technical excellence and continuous learning.

Qualifications:

8+ years of experience in platform, DevOps, or cloud engineering, with at least 3+ years in SaaS environments.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Expertise in architecting, deploying, and managing cloud-native applications on AWS, GCP, or Azure.
Strong experience with Kubernetes, serverless computing, and container orchestration.
Proficiency in modern Infrastructure-as-Code (Terraform, Pulumi) and CI/CD tools (GitHub Actions, ArgoCD).
Experience in distributed systems, service mesh technologies (Istio, Linkerd), and event-driven architectures.
Hands-on experience with databases (SQL, NoSQL, vector DBs), ensuring high availability and performance.
Deep understanding of SaaS security principles, identity management, and compliance frameworks (SOC 2, ISO 27001).
Strong programming and automation skills in Python, SQL, and Bash.
Strong experience with microservices architecture and API development.
Familiarity with MLOps frameworks and ML model operationalization.

Preferred Qualifications:

Experience building and maintaining large-scale data processing pipelines.
Expertise in observability tools such as Prometheus, Grafana, OpenTelemetry, or ELK stack.
Familiarity with real-time data processing and messaging platforms (Kafka, Pub/Sub, Kinesis).
Background in high-availability, globally distributed architectures.
Work experience in cutting-edge AI and MLOps challenges at the intersection of ML, engineering, and cloud infrastructure.
Certifications in cloud computing (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer).
Contributions to open-source DevOps, platform, or MLOps tooling.

Job Title

Once hired this person will have the job title Tech Lead II, Platform Engineer - AI & ML Ops

Total Rewards:
At Enable, we’re committed to your professional development and growth. Starting pay is determined by factors like location, skills, experience, market conditions, and internal parity.
Salary/TCC is just one component of Enable’s total rewards package. Enable is committed to investing in the holistic health and wellbeing of all Enablees and their families. Our benefits and perks include, but are not limited to:
Paid Time Off: Take the time you need to relax and recharge
Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being
Comprehensive Insurance: Health and life coverage for you and your family
Retirement Plan: Build your future with our retirement savings plan
Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance
Equity Program: Benefit from our equity program with additional options tied to tenure and performance
Career Growth: Explore new opportunities with our internal mobility program

Additional Perks:  
Free Food: Complimentary meals, snacks, and drinks on-site in our global offices   Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights 
Pets: Bring your pets to our welcoming, pet-friendly offices
According to LinkedIn's Gender Insights Report, women apply for 20% fewer jobs than men, despite similar job search behaviors. At Enable, we’re committed to closing this gap by encouraging women and underrepresented groups to apply, even if they don’t meet all qualifications.
Enable is an equal opportunity employer, fostering an inclusive, accessible workplace that values diversity. We provide fair, discrimination-free employment, ensuring a harassment-free environment with equitable treatment.
We welcome applications from all backgrounds. If you need reasonable adjustments during recruitment or in the role, please let us know. ","hiringOrganization":{"@type":"Organization","name":"Enable","sameAs":"https://enable.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior ML OPS _ Content Creation Technology Group","datePosted":"2025-08-05","description":"

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assasin's Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you're passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Job Description

The Content Creation Technology Group (CCTG) is looking for a Senior ML Ops to work in a team that develops machine learning tools to support teams in creating, testing, and deploying ML solutions to games. You will support and collaborate with Data Scientists, Software Developers and other stakeholders in delivering these ML solutions. The Senior ML Ops role will bring best practices and design principles to assist the team in delivering our ambitious features roadmap.

Main responsibilities:

Designing and developing machine learning systems and schemes based on the business requirements and objectives.

Optimizing existing tools for improved performance, scalability, and efficiency.

Contribute to the industrialization of machine learning projects, focusing on building pipelines and workflows.

Adapting and improving models’ usage, facilitating tools usage, and adapting these to users needs.

Create tools to support and integrate the ML models inside a multi-process pipeline.

Enhancing the existing machine learning libraries and frameworks.

Collaborating with game production teams, data science team, research team and other stakeholders.

Other responsibilities:

Conducting research to stay up to date with the latest advancements.

Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators.

Creating proof of concepts to satisfy investigations into product directions.

Qualifications

Education:

Bachelor’s degree in computer science or computer engineering or equivalent. A specialization in Machine Learning is an asset.

Relevant Experience:

A minimum of 5 years of experience in software engineering.
A minimum of 2 years of experience in machine learning.

Skills:

A good knowledge of a production machine learning pipeline; from ML training and deployment to model performance-tracking/behavioral-drift.

Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow.

A familiarity with MLOps platforms such as Databricks and/or ClearML.

A good knowledge of container technology such as Docker and/or Kubernetes.

A good knowledge of machine learning and deep learning fundamentals.

A good knowledge of Database products is an asset.

A good knowledge of cloud-based platforms is an asset.

Additional Information

About us

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.

","hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://www.ubisoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, QC, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Machine Learning Operations (ML/Ops) Engineer - Team Lead","datePosted":"2025-08-03","description":"

Machine Learning Operations (ML/Ops) Engineer - Team Lead

Location / Work Setup: Remote

About Us:

We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure.

Key Responsibilities:

Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
Build and enhance capabilities to seamlessly integrate ML models into existing pipelines.
Collaborate with cross-functional teams to understand project requirements and ensure successful deployment.
Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency.
Utilize Python for scripting and automation tasks.
Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows.

Requirements

For Team Lead Position:

At least 3 years of experience in ML/Ops or a related field.
Proven leadership skills with the ability to guide and inspire a team.
Excellent communication skills to effectively liaise with clients and internal teams.

For ML/Ops Engineer Position:

Strong experience in deploying Machine Learning models.
Proficiency in Python for scripting and automation.
Hands-on experience with Cloud platforms, particularly Azure and GCP.
Prior experience in addressing scalability and pricing concerns in ML operations.

How to Apply:

If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations.

Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

","hiringOrganization":{"@type":"Organization","name":"Brixio","sameAs":"https://brixio.io"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United Arab Emirates - Remote","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"ML OPS Senior _ Groupe Technologique Création de contenu","datePosted":"2025-08-05","description":"

Company Description

Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu!

Job Description

Le Content Creation Technology Group (CCTG) est à la recherche d'un ML Ops senior qui travaillera au sein d'une équipe qui développe des solutions d’apprentissage automatique pour améliorer l'expérience joueur, entre autres avec un projet sur des robots visant à simuler de vrais joueurs concurrents. Le rôle du ML Ops senior sera de définir les meilleures pratiques et les principes de conception pour aider l'équipe à livrer notre ambitieuse feuille de route de fonctionnalités.

Principales responsabilités:

Concevoir et développer des systèmes d'apprentissage automatique et des schémas basés sur les requis et les objectifs de l'entreprise.

Optimiser les solutions existantes pour améliorer les performances, l'évolutivité et l'efficacité.

Contribuer à l’industrialisation des projets d’apprentissage automatique, en se concentrant sur la création de pipelines et du déroulement des opérations de travail.

Adapter et améliorer l'utilisation des modèles, faciliter l'utilisation des outils et les adapter aux besoins des utilisateurs.

Créer des outils pour soutenir et intégrer les modèles d'apprentissage automatique dans un pipeline multi-processus.

Améliorer les librairies et frameworks d'apprentissage automatique existants.

Collaborer avec les équipes de production du jeu, l'équipe de science des données, l'équipe de recherche et d'autres parties prenantes.

Autres responsabilités:

Mener des recherches pour rester au courant des dernières avancées technologiques.

Documentation, présentations et partage des connaissances pour communiquer des concepts d'IA complexes aux collaborateurs techniques et non techniques.

Création de preuves de concepts pour satisfaire les exigences sur les orientations du produit.

Qualifications

Formation:

Baccalauréat en informatique ou en génie informatique ou équivalent. Une spécialisation en apprentissage automatique est un atout.

Expérience pertinente:

Un minimum de 5 ans d'expérience en génie logiciel.
Un minimum de 2 ans d'expérience en apprentissage automatique.

Compétences:

Une bonne connaissance d'un pipeline d'apprentissage automatique de production ; de la formation et du déploiement de l’apprentissage automatique au suivi de la performance des modèles/behavioral-drift.

Maîtrise de Python et expérience des librairies et frameworks tels que PyTorch et/ou TensorFlow.

Une bonne connaissance des plateformes MLOps telles que Databricks et/ou ClearML.

Une bonne connaissance de la technologie des conteneurs tels que Docker et/ou Kubernetes.

Une bonne connaissance des notions de base de l'apprentissage automatique et de l'apprentissage profond.

Une bonne connaissance des plateformes infonuagiques est un atout.

Une bonne connaissance des produits de base de données est un atout.

Additional Information

Quoi nous envoyer

Votre CV mettant en valeur votre formation, votre expérience, vos compétences et les jeux livrés

À propos de nous

Nous adoptons un modèle de travail hybride qui vous aide à rester connecté avec votre équipe et aligné sur les priorités de l'entreprise, tout en vous donnant la possibilité de maintenir votre équilibre entre vie professionnelle et vie privée. Notez que certains rôles sont entièrement basés au bureau et ne sont pas éligibles au travail hybride.

","hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://www.ubisoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, QC, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"ML OPS Senior _ Groupe Technologique Création de contenu","datePosted":"2025-08-11","description":"

Description de l'entreprise

Description du poste

Principales responsabilités:

Concevoir et développer des systèmes d'apprentissage automatique et des schémas basés sur les requis et les objectifs de l'entreprise.

Optimiser les solutions existantes pour améliorer les performances, l'évolutivité et l'efficacité.

Contribuer à l’industrialisation des projets d’apprentissage automatique, en se concentrant sur la création de pipelines et du déroulement des opérations de travail.

Adapter et améliorer l'utilisation des modèles, faciliter l'utilisation des outils et les adapter aux besoins des utilisateurs.

Créer des outils pour soutenir et intégrer les modèles d'apprentissage automatique dans un pipeline multi-processus.

Améliorer les librairies et frameworks d'apprentissage automatique existants.

Collaborer avec les équipes de production du jeu, l'équipe de science des données, l'équipe de recherche et d'autres parties prenantes.

Autres responsabilités:

Mener des recherches pour rester au courant des dernières avancées technologiques.

Documentation, présentations et partage des connaissances pour communiquer des concepts d'IA complexes aux collaborateurs techniques et non techniques.

Création de preuves de concepts pour satisfaire les exigences sur les orientations du produit.

Qualifications

Formation:

Baccalauréat en informatique ou en génie informatique ou équivalent. Une spécialisation en apprentissage automatique est un atout.

Expérience pertinente:

Un minimum de 5 ans d'expérience en génie logiciel.
Un minimum de 2 ans d'expérience en apprentissage automatique.

Compétences:

Une bonne connaissance d'un pipeline d'apprentissage automatique de production ; de la formation et du déploiement de l’apprentissage automatique au suivi de la performance des modèles/behavioral-drift.

Maîtrise de Python et expérience des librairies et frameworks tels que PyTorch et/ou TensorFlow.

Une bonne connaissance des plateformes MLOps telles que Databricks et/ou ClearML.

Une bonne connaissance de la technologie des conteneurs tels que Docker et/ou Kubernetes.

Une bonne connaissance des notions de base de l'apprentissage automatique et de l'apprentissage profond.

Une bonne connaissance des plateformes infonuagiques est un atout.

Une bonne connaissance des produits de base de données est un atout.

Informations supplémentaires

Quoi nous envoyer

Votre CV mettant en valeur votre formation, votre expérience, vos compétences et les jeux livrés

À propos de nous

","hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://www.ubisoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, QC, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Applied AI ML Lead - ML Ops, Terraform, Databricks, AWS","datePosted":"2025-08-11","description":"

We have an exciting and rewarding opportunity for you to take your AI Engineering career to the next level.

As a Applied AI ML Lead at JPMorgan Chase within Commercial and Investment Bank’s Global Banking Tech Team, you will lead the development and deployment of scalable infrastructure for machine learning models. Your role will involve strategic planning, hands-on leadership, and collaboration with cross-functional teams to implement innovative solutions that enhance the firm's AI capabilities, with a strong emphasis on leveraging Databricks.

Job Responsibilities:

Lead the design and implementation of scalable infrastructure for deploying machine learning models, utilizing Databricks and other cloud platforms.
Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver robust AI solutions.
Develop and maintain CI/CD pipelines to automate the deployment and management of machine learning models.
Ensure the scalability, performance, and reliability of deployed models, leveraging cloud infrastructure and best practices.
Implement governance and security measures to ensure compliance with industry and regulatory standards.
Stay up-to-date with industry trends and emerging technologies in MLOps, AI engineering, and Databricks.
Provide training and support to teams on best practices in MLOps, AI deployment, and Databricks usage.

Required Qualifications, Capabilities, and Skills:

Minimum 8+ years of experience as an MLE
Extensive experience in ML Ops and AI engineering, with a focus on deploying scalable infrastructure for machine learning models.
Experience in Databricks and cloud platforms such as AWS, Azure, or Google Cloud.
Strong programming skills in Python and experience with CI/CD tools.
Proven experience in leading teams and delivering AI solutions in an enterprise environment.
Strong understanding of machine learning model deployment patterns and best practices.

Preferred Qualifications, Capabilities, and Skills:

Experience with big data technologies and frameworks.
Certification in Databricks, cloud platforms, or AI engineering is a plus.
Experience working in agile development teams and using Object-Oriented programming languages.

\n\n

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Lead Machine Learning Engineer - Recommendations (Python, applied ML, ML Ops)","datePosted":"2025-08-04","description":"The pay range is $128,000.00 - $231,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER – RECOMMENDATIONS

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. In this role you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Digital/Ecommerce, Marketing, Supply Chain Optimization, Search and Personalization. Every Scientist on Target’s Data Sciences team can expect modeling and software/product development of highly performant code for model performance to elevate Target’s culture and apply retail domain knowledge.

As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
PhD/MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
5 plus years of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment and API design
Highly proficient programming in Python and either PySpark or Scala
Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn or ONNX
Experience with ML Ops and cloud ML services such as Vertex AI/Azure ML/Sagemaker
Experience using distributed training frameworks like Spark/Ray/TensorFlow Distributed
Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
Good understanding of Big Data tech - specifically Hadoop, Spark and Kafka
Experience creating and maintaining CI/CD pipelines for automated model testing and deployment
Extensive experience partnering with data scientists, software engineers and product managers to understand business requirements and translate them to ML solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
Self-driven and results oriented; able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team
Experience in mentoring and developing junior team members ML skillset and careers

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

This position may be considered for a Remote or Hybrid (known internally at Target as \"Flex for Your Day\") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.

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Your work days are brighter here.

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

About the Team
The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform. As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production. You will partner with Data Scientists, ML Engineers, and other Software Engineers to create the technology that brings these features to life.

About the Role

This role will support one or more direct or indirect contracts with the U.S. Federal Government which, due to federal government security requirements, mandates that all Workday personnel working on the contracts be United States citizens (naturalized or native).

Key Responsibilities :

Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation.
Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications.
Implementation and operation of distributed systems and software development including the conception, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.
Developing products and services that empower developers to streamline their interactions with the ML platform.
Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles.
Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools.
Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions.
Own and develop features from end to end including infrastructure as code.
Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self-service their operational needs for improved productivity.
Availability for on-call support on a rotational basis.

About You

We need creative and dedicated Software Engineers, like you, who really want to move the needle. You should enjoy working on projects that can significantly improve developer satisfaction and save the company millions of dollars. By nature, you are inquisitive and ready to question the status quo. You have a passion for exploring and implementing innovative techniques and approaches to solve complex and challenging problems. Most importantly of all you are a superlative collaborator and teammate and bring out the very best in everyone. You feel happiest when working with a highly capable and motivated team of people passionate about software and technology.

Basic qualifications for: Intermediate:

US Citizenship is required.
3 or more years of DevOps experience including Infrastructure automation, building CICD pipelines.
Good in System design and writing comprehensive technical design docs
Proficient in Python programming.
Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment.
Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.
Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes.

Basic qualifications for Senior:

US Citizenship is required.
6 or more years of DevOps experience including Infrastructure automation, building CICD pipelines.
Good in System design and writing comprehensive technical design docs
Proficient in Python programming.
Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment.
Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.
Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes.

Other Qualifications:

Machine learning background.
Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices.
Building comprehensive monitoring services.
Prior experience with enterprise SaaS products.
Experience with monitoring tools like Grafana.
Passion for creating and maintaining documentation and fixing run books.
Availability for on-call support on a rotating basis.
Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD
BS/MS in Computer Science or a related technical field.
Excellent problem-solving skills with a focus on creating and maintaining accurate documentation.
Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive tea

Workday Pay Transparency Statement

Primary Location: USA.CO.Boulder

Primary Location Base Pay Range: $128,800 USD - $193,200 USD

Additional US Location(s) Base Pay Range: $122,400 USD - $217,200 USD

Additional Considerations:

The application deadline for this role is the same as the posting end date stated as below:

08/31/2025

Our Approach to Flexible Work

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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About the job:

Red Hat OpenShift AI (RHOAI) is seeking a Senior Software Quality Engineer. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products while participating in open-source communities such as Kubeflow, Trusty AI, and Kserve, and be at the forefront of the exciting evolution of AI.

As a Senior Quality Engineer, the role is primarily that of an individual contributor who collaborates closely with other Quality Engineers and cross-functional teams. You will expand existing tests and design and implement new functional and nonfunctional tests, review test results, debug failures, and report outcomes. You will collaborate with engineers within your team and across other teams. You will need to have a passion for working in open-source communities and for developing reference architectures that integrate Red Hat, open-source, and partner technologies into a cohesive platform. Are you ready to develop solutions combining open source, hybrid cloud, and AI? Come join the Red Hat OpenShift AI team!

What you will do?

Create comprehensive and automated test plans for the open-source AI/ML components in Red Hat OpenShift AI
Participate in AI/ML upstream communities to ensure the upstream components work on OpenShift and can be integrated with RHOAI
Generate regular component quality metrics, and test coverage reports
Work closely with the development teams to transform user stories into test cases
Maintain existing automation test frameworks
Present at OpenShift/Kubernetes, and AI/ML-related technology conferences and internally within the AI/ML communities of practice

What you will bring?

4+ years of software quality engineering experience, including tools like Robot Framework, Pytest, and Unittest
Experience with developing test plans in Python
Experience with Agile testing methodologies
Demonstrated experience in container-related technologies like Docker, Podman, or Kubernetes

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Opportunity

At Genentech and Roche, we're at the forefront of a revolutionary transformation in drug discovery powered by AI and machine learning. Our \"lab in the loop\" strategy processes massive quantities of experimental data to train AI models that accelerate the discovery of new medicines. To enable this vision, we're seeking exceptional Senior Software Development Engineers to be part of the team building and maintaining our next-generation Therapeutic Molecule Registration (TMR) platform - a foundational component of our AI-driven drug discovery infrastructure. This platform will serve as the central nervous system for managing and integrating molecular data across our global research organization, handling hundreds of billions of records and enabling unprecedented scale in virtual molecule design and testing. As the volume of AI-generated molecular designs grows exponentially, our TMR platform must evolve to become a high-performance, cloud-native system capable of supporting rapid iteration cycles between computational design and experimental validation. You will be instrumental in consolidating our molecule registration systems into a single, harmonized environment, unlocking the full potential of our data and accelerating the development of life-changing therapies.

In the role, you will:

You will combine software engineering expertise with an interest in chemical and biological data management systems.
You will work closely with Genentech Computational Sciences (gCS) colleagues, including our machine learning for drug development team, Genentech Research & Early Development (gRED) Drug Discovery teams including the Antibody Engineering division, and other teams across the Roche family of companies to identify, strategize, and productionalize high-impact applications from across the drug discovery and development pipeline.
You will develop and maintain core features of our TMR platform
You will write high-quality, testable code for chemical registration workflows
You will design and implement RESTful APIs and microservices
You will contribute to technical design discussions and architecture decisions

Who you are

Software Development Engineer

Bachelor's degree in Computer Science or related field (or equivalent experience)
3+ years of software engineering experience
Strong Python programming skills
Basic Java/Kotlin knowledge
Experience with SQL databases
Understanding of REST APIs
Strong testing practices
Cloud platform exposure (preferably AWS)

The expected salary range for this position based on the location of New York is $110,200 - 204,600, or California is $115,200 - 214,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Senior Software Development Engineer

Bachelor's degree in Computer Science or related field (or equivalent experience)
7+ years of software engineering experience
Strong Python programming skills
Ability to work with Java/Kotlin codebases
Working knowledge of Postgres and SQL
Experience with REST APIs and microservices
Strong testing practices and test automation
Experience with cloud platforms (preferably AWS)
Understanding of CI/CD pipelines
Experience with agile development methodologies

The expected salary range for this position based on the location of New York is $136,300 - 253,100, or California is $142,500 - 264,7000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Preferred experience for both levels

Open source cheminformatics experience (e.g., RDKit, chemfp, Indigo, HELM toolkit)
Chemical database cartridge expertise
Familiarity with biological sequence alignment
Chemical & biological structure notation expertise
Familiarity with chemical structure canonicalization
Molecular structure searching algorithm expertise
Experience with scientific software development
Familiarity with Docker and Kubernetes
Experience with event-driven architectures
Knowledge of security best practices

Relocation benefits are available for this job posting

Benefit

#ComputationCoE

#tech4lifeComputationalScience

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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Job Description

WHAT YOU’LL DO

As a key member of our team, you'll design, develop, and maintain backend solutions for our Stores. Working in an agile environment, you'll collaborate with product managers, business and frontend engineers to deliver high-quality, scalable software. The ideal candidate is passionate about backend development, proficient in C# and .Net, and stays updated with Microsoft Development best practices.
\n

In addition to the above, your role will involve: 

API Design: Collaborating on the design and implementation of APIs that facilitate seamless communication between the Mobile Application and backend, ensuring an efficient flow of data in the headless ecommerce environment. 
Databases (SQL/ NoSQL): Contributing to data modelling and database design, optimizing storage and retrieval mechanisms to align with the requirements of a headless ecommerce architecture. 
Azure Cloud: Leveraging your expertise in Azure Cloud services to enhance the scalability, reliability, and performance of our backend systems, ensuring a seamless integration with our headless ecommerce applications.

WHO YOU’LL WORK WITH

At Store Lens, we work closely with Portfolio Brands and H&M Brand to design and provide technical solutions. We contribute to product development at every stage, from setting requirements to rollout and testing. From day one, we focus on improving by listening, building, and refining as we go. Even as we define requirements, we are already thinking ahead, using early designs, first developments, and new learnings to continuously make the product better.

We are curious, active listeners and hands-on doers.

Beyond your work with Store Lens, you will also be part of our Engineering/QA community, where you will have access to a network of experts, resources, and opportunities to grow.

WHO YOU ARE

We are looking for people with…

Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience), and at least 5-8 years of experience as a Software Engineer with backend focus.
Proficiency in C# and .NET.
Proficiency in Azure concepts and native development using Azure functions.
Experience in concept as Always up and message queuing.
Experience of CI/ CD pipelines using Azure DevOps / GitHub Actions.
Experience of containerization technologies like Kubernetes and Docker.
Experience in Database (e.g. Cosmos Db).
Experience in POS, Payment and Checkout area is a plus.
Experience in SignalR is a plus.

And people who have:

Continuous learning mindset to stay updated on emerging trends and technologies in backend testing. 
Ability to collaborate effectively in a team environment and communicate technical concepts clearly.  
Strong problem-solving skills and attention to detail. Experience conducting code reviews, identifying areas of improvement, and provide constructive feedback to maintain code quality and consistency.
Familiarity in backend testing with a focus on ensuring the reliability and performance of backend systems. 
Familiarity with Agile/Scrum development methodologies.
Excellent communication and collaboration skills.

WHO WE ARE

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.

WHY YOU’LL LOVE WORKING HERE
\n
\nWe offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.

In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.

JOIN US

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.

Take the next step in your career together with us. The journey starts here.

*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

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About the Role:

Grade Level (for internal use):

The Role: Software Engineer - Java

The Team: You will be part of a development team that designs, builds and maintains the workflow tools to support self-service on- and offboarding for customers of and data feeds to S&P Global data platforms (Data Lake and Data Delivery). The onboarding process touches aspects of account provisioning, entitlements and data dictionary creation and promotion and data discovery. In this role you will work with people across different time zones and locations and will be implementing the architecture and technology in line with the vision from Product Owner and CTOs. Our technology stack supports run-time onboarding of new data sets and it is important that our customer lifecycle tooling leverages all features from the platform to improve the overall customer experience.
The Impact: Our development teams practice Agile for managing product development. Developers in the scrum teams are responsible for delivering potentially shippable increments and spans all areas of the development process. The role includes work on data modelling, architecture design, business logic, deployment, release management, infrastructure as a service, requirements gathering, user interface design and quality assurance.

What’s in it for you: It is a unique and challenging role that calls for a strong passion for quality and technology, while providing an immense opportunity to design and develop wide-reaching code. As a member of the scrum team you will analyze business requirements and scenarios, then translate them into a robust design, code base and quality assured production service.
You will work together with highly experienced professionals, who value the success of the company and its entrepreneurial culture. The team uses an agile development process, which includes test-driven development, continuous integration and delivery, and a highly iterative release cycle.
The team carefully selects and extends its toolset to improve productivity. Tools which are currently in use include Java 8, Open JDK11, MongoDB, IntelliJ IDEA, Gradle, Maven, Gitlab, AWS (ECR, S3, Kinesis, SQS, Lambda, MSK and more), JIRA and Confluence.

Responsibilities:
• Design, build, maintain and improve data models, business logic, the continuous integration and delivery process, user interfaces, functional and non-functional tests
• Optimize use of cloud infrastructure
• Work closely with stakeholders to gather, clarify, and document requirements where necessary Instrument the software to produce operational metrics Business competencies

Qualification:
• Solid technical background in implementing object oriented systems
• Bachelor Degree in Computer science & engineering or Master degree in computer science (MCA)
• 5+ years of experience as a software development engineer with proven experience in agile and continuous delivery
• Highly proficient in Java
• Sound understanding of low level Java programming APIs, such as concurrency, NIO and byte buffers.
• Technical requirements gathering where knowledge of financial markets and affinity with numbers are considered a plus
• Experience with design and implementation of functional and non-functional test strategies, including related frameworks and tools
• Experience with Ansible, Puppet, AWS EC2, AWS ECS(Fargate) AWS Kinesis, AWS SQS, Lambda, Container Platforms, Container management platforms or Mesosis are a big plus.
• Knowledge of XML, JSON, web services (REST), MongoDB and SQL are a big plus.
• Experience with Big Data processing engines, Distributed streaming platforms

• Experience with React or Angular is advantageous.

• Experience of one or more of scripting and build automation tools (Ant, Perl, Shell, Python, Maven, Gradle, Groovy) is a plus.

Commercial awareness
• Familiarity with the financial services industry is advantageous
• Interprets internal/external business challenges and recommends best practices to improve products, processes or services
• Requires depth and/or breadth of expertise in software engineering and general knowledge of related areas

Management requirements
• Impacts the achievement of customer, operational, project or service objectives; work is guided by department objectives
• May lead teams or projects with moderate resource requirements, risk, and/or complexity

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)","hiringOrganization":{"@type":"Organization","name":"S&P Global","sameAs":"https://www.spglobal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN - NOIDA CANDOR TECHSPACE SECTOR 62, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Software Engineer/Senior Software Engineer","datePosted":"2025-08-13","description":"

The Opportunity

In the role, you will:

You will combine software engineering expertise with an interest in chemical and biological data management systems.
You will work closely with Genentech Computational Sciences (gCS) colleagues, including our machine learning for drug development team, Genentech Research & Early Development (gRED) Drug Discovery teams including the Antibody Engineering division, and other teams across the Roche family of companies to identify, strategize, and productionalize high-impact applications from across the drug discovery and development pipeline.
You will develop and maintain core features of our TMR platform
You will write high-quality, testable code for chemical registration workflows
You will design and implement RESTful APIs and microservices
You will contribute to technical design discussions and architecture decisions

Who you are

Software Development Engineer

Bachelor's degree in Computer Science or related field (or equivalent experience)
3+ years of software engineering experience
Strong Python programming skills
Basic Java/Kotlin knowledge
Experience with SQL databases
Understanding of REST APIs
Strong testing practices
Cloud platform exposure (preferably AWS)

Senior Software Development Engineer

Bachelor's degree in Computer Science or related field (or equivalent experience)
7+ years of software engineering experience
Strong Python programming skills
Ability to work with Java/Kotlin codebases
Working knowledge of Postgres and SQL
Experience with REST APIs and microservices
Strong testing practices and test automation
Experience with cloud platforms (preferably AWS)
Understanding of CI/CD pipelines
Experience with agile development methodologies

Preferred experience for both levels

Open source cheminformatics experience (e.g., RDKit, chemfp, Indigo, HELM toolkit)
Chemical database cartridge expertise
Familiarity with biological sequence alignment
Chemical & biological structure notation expertise
Familiarity with chemical structure canonicalization
Molecular structure searching algorithm expertise
Experience with scientific software development
Familiarity with Docker and Kubernetes
Experience with event-driven architectures
Knowledge of security best practices

Relocation benefits are available for this job posting

Benefit

#ComputationCoE

#tech4lifeComputationalScience

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

","hiringOrganization":{"@type":"Organization","name":"Genentech","sameAs":"https://www.gene.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"Software Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: None

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

* * *

Primary Purpose:

Under direct supervision, participate in research and innovation efforts on complex solutions to security challenges in telecommunications and IP/computer networking equipment in the cyber security domain on multiple hardware platforms utilizing Linux and/or Unix-based operating systems.

More About This Role:

You will demonstrate breadth and flexibility by contributing at various levels of software development from infrastructure through application, including full stack development, to control customized embedded communication systems. You will be part of a team that solves the most complex networking and communications challenges facing the U.S. Federal Government. You will help deliver groundbreaking research, and advanced networking and communications solutions that provide an information advantage that contributes to the mission and operational success of CACI customers.

Duties and Responsibilities:

Work from existing design specifications to implement, test and document software solutions in telecommunications and IP/computer networking equipment in the cyber security domain.
Work with a product development team to develop concepts, identify creative solutions to user requests and assess feasibility of these solutions.
Participate in technical activities spanning multiple technical disciplines including security analysis, software/tool development, software test, development environment and system infrastructure.
Work in a telecommunications development lab environment, use automation tools and lab test equipment, including protocol analyzers
Operate effectively and comfortably in a team environment
Travel to other CACI Locations or Customer Sites as necessary
Understand and adhere to all CACI Ethical and Compliance policies
Proactively ensure a safe work environment and adhere to CACI EH&S policies and procedures
Perform other duties as required

Minimum Education and Experience:

Bachelor’s Degree in Computer Engineering, Computer Science, Electrical Engineering or related technical discipline and 0-5 years of experience or an equivalent combination of education, skills, and experience.

Skills and Knowledge:

Familiar with software engineering process concepts from requirements reviews, code inspection, and system test plan creation to system validation
Use of development tools (e.g. editors, compliers, debuggers)
Knowledge of IP networking and/or telecommunications equipment installation, configuration and maintenance
Some experience debugging system-level issues with various lab equipment
Knowledge of Microsoft software applications and other software applications as required
Knowledge of IP based telephony including its architecture, configuration and maintenance is desired

These Qualifications Would Be Nice to Have:

Familiar with development in either Windows, Linux and/or Unix-based operating systems
Software development skills in current languages such as: C, C++, JAVA, Python, PHP, JavaScript, ARM, MIPS, x86 or comparable languages.
Familiarity with software security concepts such as intrusion detection, cryptography, authentication, firewalls, secure coding practices
Experience debugging system-level issues with various lab equipment
Knowledge of Internet routing techniques protocols and tools
Willingness and ability to quickly learn new technologies
Strong oral and written communication skills
Ability to work both independently and as a collaborative team member

There is no clearance requirement to begin employment. However, as a requirement of continued employment in this position you will be required to obtain a Top Secret clearance.

________________________________________________________________________________________

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Your potential is limitless. So is ours.

Learn more about CACI here.

________________________________________________________________________________________

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.

The proposed salary range for this position is:

$66,700 - $133,300

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.","hiringOrganization":{"@type":"Organization","name":"CACI International Inc","sameAs":"https://www.caci.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"448 FLORHAM PARK NJ, United States","addressCountry":"Jersey","addressRegion":"Europe"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

Software Engineer

You are collaborative and enjoy solving analytical problems to help our team to reach highest potential
We are a team of big thinkers who are engineering the future of banking
Together we will build tomorrow’s bank today, using world-leading technology and innovation

Do work that matters

We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build Australia’s future economy.

Our Software team are the brains behind Australia’s number one banking app, Netbank, Cardless Cash, Comm Sec Pocket and Spend Tracker. We go beyond a passion for web and mobile development, creating reliable APIs at a unique scale in Australia.

See yourself in our team

CommBank Health aims to improve patient and provider experiences by offering a wide range of innovative healthcare solutions that include mobile platforms, CommBank SMART terminals, the web and partner product integrations.

CommBank Smart Health is Australia’s first truly end-to-end digital payments solution for the healthcare industry, providing convenient and secure payment, claiming, and directory capabilities for Australia’s healthcare payer schemes, providers, and patients. Within CommBank Health, you'll be part of the Web and Mobile team responsible for all the Customer facing functionality related to Smart Health, which brings together a touch screen smart terminal for processing payments and is seamlessly integrated with the CommBank Health Claim Merchant Portal.

As a Full Stack Engineer, you’ll be consulted on product and feature designs and will be critical to their quality implementation and delivery. You will have the opportunity to stretch yourself in front end engineering, API development, and systems integration, as well as contribute to the evolution of this system and the business strategy. Also, you’ll be invited to attend our regular engineering guilds to broaden your expertise and participate in agile ceremonies, which will allow you to contribute to and define the way we operate.

We’re interested in hearing from people who:

Are passionate about building high quality software solutions with comprehensive test coverage.
Have solid understanding of software engineering fundamentals and best practices.
Collaborate with the team to apply the principles of design, development, testing, deployment, support, and evaluation.
Are actively involved in continuous learning, experimentation, and participate in peer code reviews.
Are constantly thinking outside the box and breaking boundaries to solve complex technical problems.
Work well in teams and have strong collaboration skills in driving continuous improvement initiatives.

Tech Skills:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these will set you up for success in this team:

Backend - developing backend applications using .NET Core, Rest API design patterns
Frontend frameworks - Angular
Databases - SQL Server
Cloud development - Azure or AWS preferred
Any experience with the following would be great - Monitoring & observability (Splunk, Prometheus, Grafana)

Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with us is for you.

We support our people with the flexibility to balance where work is done with at least half their time connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. We’re looking for people who truly live our values: Care, Courage and Commitment and we’ll offer you great opportunities to develop your career with us.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 30/07/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW - CBP South, 11 Harbour Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

The Group: The IWPT Data Platform team at Morningstar is looking for an experienced Software Engineer to lead the development and maintenance of our Investor applications built with Node.js backend and Vue.js frontend. These applications play a crucial role in delivering data for investor and market research articles within their financial systems.

The Role: We are looking for a Software Engineer who specializes in full-stack development on modern cloud-based infrastructure to join our team, grow with us, introduce us to new ideas and develop products that empower our users. You will have technical product ownership and responsibility for ensuring process and quality adherence through code reviews, test coverage and overall governance. You will act as the software guardian, owning non-functional requirements, and the quality of the code while addressing technical debt. Every day, you’ll work with team members across disciplines developing products for our clients. You will partner with product owners and designers to understand our domain and create technical solutions that push us forward. You will be a co-owner of the product, responsible for its development and overall quality.

Responsibilities:

Development and maintenance of Investor and DFD applications using Vue.js, Nuxt.js, Storybook, Javascript and Node.js, GraphQL, deployed on a aws cloud platform.
• Collaborate with clients and internal teams to diagnose and resolve complex issues across both FrontEnd and BackEnd applications.
• Design and implement improvements to enhance the reliability, performance, and user experience of our applications.
• Document development processes, troubleshooting techniques, and solutions to promote knowledge sharing and continuous improvement.

Qualifications

Friendly and enjoys working in a collaborative team with excellent spoken and written communication skills. Humble, honest, and to the point.
Bachelor of Science in Computer Science, Engineering, or equivalent experience.
Minimum 2 years of hands-on experience in building reactive Single-Page Web Applications.
Experience with several of the following
- Javascript application frameworks like Nuxt and Vue
- Infrastructure as Code (IaC) tools like CloudFormation and Terraform
- CI/CD tools like Jenkins, and Harness
- Building and deploying containerized applications
Proficiency in Vue.js, Nuxt.js, React.js, or any JavaScript platform, along with Node.js, GraphQL for developing and maintaining Morningstar applications.
Deep understanding of application development.
Familiarity with relational and non-relational databases and queries.

Nice to have

Experience scaling web-based software applications and services.
An understanding of how to protect web applications and services from common security vulnerabilities.
Experience with Amazon Web Services technologies like CloudFront, S3, API gateway, ECS, Elastic Search, and ElastiCache
Experience building and maintaining automated continuous deployment pipelines
Experience building and maintaining automated testing tools

Morningstar is an equal opportunity employer committed to diversity and inclusion. We welcome and encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

Morningstar is an equal opportunity employer

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity","hiringOrganization":{"@type":"Organization","name":"Morningstar","sameAs":"https://www.morningstar.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"Job Description

Thomson Reuters is seeking a Software Engineer to join our team. This individual will develop software application modules using disciplined software development processes in order to fix problems and to communicate changes effectively.

About the Role

As a Software Engineer, you will:

Analyzes customer problems of moderate complexity
Assesses scope of impact
Mitigates customer impact of issues and recommends and executes work arounds
Identifies options for problem resolution and initiates action
Engages others as appropriate and escalates as required
Provides advice or training to users about the application systems' functionality, correct operation or constraints, and corrects user faults
Liaises with various application development and content teams, customer service teams, and other software and hardware support teams.
Proactively monitors production and nonproduction environments and/or applications
Provides input for technical plans and solutions.
Provides technical guidance to less experience analysts
Conducts root cause analysis and correlation of other system and/or application problems of moderate complexity.
Works on small complex projects/issues that require a singular area of expertise.
Participates in project planning sessions with team members.
Manages multiple and sometimes competing priorities with guidance.
Prepares status updates for customer problems or projects.
Regularly communicates and shares knowledge with the rest of the team.
Performs actions aligned with defined standards
The following are required for some positions but not all:
Assists in developing, configuring, or supporting tools for system monitoring and/or troubleshooting.*
Develops software application modules using disciplined software development processes in order to fix a problem and to communicate the changes effectively. *
Carries out unit testing and implements application modules they have developed or modified, ensuring application meets needs of client and business.* - check with Markets
Provides ongoing maintenance of either mainframe or client/server applications or tools.*

About You

You’re a fit for the role of Software Engineer if your background includes:

Bachelor's degree in relevant field preferred
1-3+ years of experience with software engineering
Experience with Java, Datadog, AWS/Azure, MySQL/SQL/Postgres, testing
Selenium, test automation, and/or understanding of JavaScript is a plus

#LI-MW1

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\n\nFor any eligible US locations, unless otherwise noted, the base compensation range for this role is $70,000 - $130,000.\n\nThis role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\nBase pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\n

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

","hiringOrganization":{"@type":"Organization","name":"Thomson Reuters","sameAs":"https://www.thomsonreuters.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA-MSP-2900 Ames Crossing Road, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

A Software Development Engineer may assist their colleagues and more junior Software Development Engineer team members by solving problems, providing technical guidance, training and mentoring others. Exceptional attention to detail, strong analytical skills, excellent communication skills, an innovative mindset, the ability to solve complex problems and deep technical ability in software development programming within an agile environment will be key for success.

We are actively seeking an exceptionally motivated individual who thrives on continuous learning and embraces the dynamic environment of a high-velocity team. Joining the Content Productization & Delivery (CPD) organization at Thomson Reuters, you will play a pivotal role in ensuring the quality, reliability, and availability of critical systems. These systems provide a suite of infrastructure services supporting a common set of search and information retrieval capabilities necessary for Thomson Reuters's research-based applications and APIs across its core products. Your responsibilities will encompass delivering content via shared services that underpin all our Tax and Legal Research products.

About the role:

In this opportunity as a Software Engineer, you will:

Actively participates and collaborates in meetings, processes, agile ceremonies, and interaction with other technology groups.
Works with Lead Engineers and Architects to develop high performing and scalable software solutions to meet requirement and design specifications.
Provides technical guidance, mentoring, or coaching to software or systems engineering teams that are distributed across geographic locations. Proactively share knowledge and best practices on using new and emerging technologies across all the development and testing groups.
Assists in identifying and correcting software performance bottlenecks.
Provides regular progress and status updates to management.
Provides technical support to operations or other development teams by assisting in troubleshooting, debugging, and solving critical issues in the production environment promptly to minimize user and revenue impact.
Ability to interpret code and solve problems based on existing standards.
Creates and maintains all required technical documentation / manual related to assigned components to ensure supportability.

About You:

You're a fit for the role of Software Engineer, if your background includes:

Bachelor’s or master’s degree in computer science, engineering, information technology or equivalent experience
3 years of professional software development experience
3+ years of experience with Java and REST based services
Ability to debug and diagnose issues.
Experience with version control (Git, GitHub)
Experience working with various AWS technologies (DynamoDB, S3, EKS)
Experience with Linux
Infrastructure as Code, CICD Pipelines

#LI-HG1

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

","hiringOrganization":{"@type":"Organization","name":"Thomson Reuters","sameAs":"https://www.thomsonreuters.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-BLR-Salarpuria Sattva Knowledge Court, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

We are seeking a highly skilled full stack developer to join our dynamic development team. You will play a crucial role in designing, developing, and maintaining our software applications using Axon, Java, React and Kotlin working across both front-end and back-end application domains.

The ideal candidate should have a strong background in 12 factor design principles, cloud-native application design and event-driven architecture running within a Kubernetes environment. If you are passionate about building scalable, high-performance systems and thrive in a collaborative environment, we would love to hear from you.

Responsibilities:

Collaborate with cross-functional teams to gather requirements, design software solutions, and implement robust and scalable applications using Java and React.
Develop and maintain event-driven architectures, ensuring the seamless flow of data and communication between various components.
Design and implement efficient data processing pipelines using Kafka, ensuring fault tolerance and high throughput.
Write secure, clean, maintainable, and efficient code while adhering to coding standards and best practices.
Optimize software performance and troubleshoot any issues or bottlenecks that arise during development or production.
Collaborate with DevOps teams to deploy and manage applications in a Kubernetes environment, ensuring scalability and availability.
Conduct thorough testing and debugging of applications to ensure quality and reliability.
Stay up to date with the latest trends and advancements in Java, React, event-driven architecture, Kafka, and Kubernetes, and apply them to enhance our development processes and systems.

Qualifications and Skills:

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Strong proficiency in JavaScript, HTML, CSS, and related frontend technologies.
Proven experience as a Java Developer/ React Developer, with a minimum of 5 years of professional experience.
Proficiency in Java and ReactJS programming languages, with a deep understanding of object-oriented programming principles.
Solid understanding of distributed systems, microservices architecture, and RESTful APIs.
Solid understanding of modern frontend development tools and workflows (e.g., Babel, Webpack, NPM, Git).
Experience with frontend testing frameworks (e.g., Jest, Enzyme) and test-driven development practices.
Experience with containerization technologies like Docker and orchestration frameworks like Kubernetes.
Knowledge of cloud platforms, preferably AWS or Azure, and their services (e.g., EC2, S3, Lambda, etc.).
Strong analytical and problem-solving skills, with the ability to quickly diagnose and resolve issues.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with Agile/Scrum methodologies and tools (e.g., JIRA, Confluence) is a plus.
Continuous learning mindset with a passion for keeping up with the latest technologies and industry trends.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

","hiringOrganization":{"@type":"Organization","name":"Maersk","sameAs":"https://www.maersk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"INBLR02 - Bangalore - Milesstone Buildcon, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Software Engineer
Location: Bangalore-Manyata Tech Park

Business & Team:

The Commonwealth Bank is the leading financial institution in Australia and provides integrated financial services.

The role sits within the Bankwest Technology division. Bankwest is a subsidiary of The Commonwealth Bank, and the Bankwest Technology division (BWT) is accountable for maintaining system resilience and supporting the delivery of our bold technology strategy at pace and scale.

Bankwest Technology consists of Platforms and Chapters underpinned by areas of expertise that manage Bankwest technology, applications and systems to support the Bankwest business. Bankwest Technology is located primarily in Bankwest Place in Perth, WA and has a total approx. 650 employees.

Impact &contribution:

As a Engineer you are Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
Promoting quality and delivering at pace through the maximization of automation is one of the key focus area of the role.
Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.

Roles & responsibilities:

Apply the principles of design, development, testing, deployment, support, and evaluation.
Develop and deploy high quality software solutions with comprehensive test coverage without supervision.
Analyse business objectives and translate requirements to technical implementation components.
Design and build programs or application features meeting business objective and requirements.
Provide accurate estimates for the development effort for new features.
Provide technical support and assistance to other non-technical members of the team.
Participate in code reviews.
Contribute to support and technical troubleshooting activity.
Act as \"Quality Advocate\" for the squad, encourage critical thinking mindset and drive prevention of defects over detection of defects.
Contribute to the development of test harnesses, frameworks, tools and infrastructure to enable test automation, CI/CD and code quality.
Influence product design, implementation and enhancement to support testability and quality
Identify and advocate for process changes to improve product quality.
Automate real time anomaly detection through services such as log monitoring.
Create well-engineered, scalable and reliable tests, and review tests created by other engineers.
Cultivate engagement and learning culture through activities such as guild presentations and blog posts.
Support and mentor Quality Engineers.
Stakeholder Management – communication with a range of stakeholders, both technical and non-technical at all levels, including explaining complex technical issues to a non-technical audience.
Risk Mindset – All Bankwest employees are expected to proactively identify and understand, openly discuss and act on current and future risks.

Essential skills:

Minimum 4-8 years of experience with expert level knowledge, working with the following languages.
Java and J2EE
Angular or equivalent Frontend technology
REST and API Development
Spring Framework
Front End Web Development (Angular preferred – only for Full stack.
Excellent communication skills
Banking domain is advantageous

Experience working with the following Tools:

IDEs (Visual Studio Code & IntelliJ)
NodeJS and NPM (only for Full stack)
Automated Testing frameworks such as JUnit, Playwright, Jest
API testing Automation
Source Control systems such as Git
Build & Deployment tools such as TeamCity, Octopus Deploy
Monitoring tools such as Splunk, AppDynamics, Checkmarx
Database such as Oracle, MySQL etc.
AWS knowledge (Preferred)
Awareness of the following Software Development Concepts:
REST and API Development
CI/CD and DevOps
TDD and BDD
Microservices Architecture
Secure Coding Practices

Education Qualification: Bachelor’s degree or Master’s degree in Engineering in Information Technology.

Advertising End Date: 07/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Manyata Tech Park Road, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

Er du en erfaren fullstack-utvikler?

Telenor går gjennom en stor transformasjon der digitalisering og teknologiutvikling er nøkkelen til suksess. Vi søker deg som motiveres av å utvikle tjenester og produkter som gjør nordmenns digitale hverdag enklere, bedre og tryggere.

Vi jobber i autonome, kryssfunksjonelle team med både videreutvikling og drift. Gjennom innovasjon, ny teknologi, gode produkter og tjenester, utvikler vi de beste løsningene for interne og eksterne brukere. Som et av Norges største og mest kompetente IT-miljøer får man muligheten til å sparre med de beste hodene i hverdagen. IT Telenor Norge legger sterk vekt på læring og egenutvikling.

I møte med det digitale skiftet trenger vi nå flere dyktige teknologer som evner å se det store bildet. Vi trenger deg som kan ta eierskap til deler av prosessen, utfordre det etablerte og samhandle godt med andre i teamet om kontinuerlig forbedring.

Vi leter etter deg som har opparbeidet noen års erfaring og er opptatt av gode tekniske løsninger, samtidig som du har et fokus på sluttbrukers reise og opplevelse i løsningene. Du vil bli gitt høy grad av tillit, og må kunne jobbe selvstendig, samtidig som du ikke er redd for å sparre med andre eller dele dine erfaringer. Du bør brenne for faget ditt og være god til å samarbeide med andre på tvers av en rekke fagfelt.

Hos oss står utstrakt bruk av skyteknologi, sikkerhet og personvern i høysetet. Du vil jobbe tett med produkteiere, designere og utviklere på tvers av team. Du jobber også tett på ulike fagmiljøer og målgrupper/brukere i omgivelsene. Du blir veiledet av andre utviklere, for å sammen lage applikasjoner som gjør en verdifull forskjell.

Hvis dette vekker din interesse, fortsett å lese!

Å jobbe i Telenor handler ikke bare om å videreutvikle og skape viktige løsninger, men som Telenoransatt vil vi at du skal utvikle deg, lære og ha en jobbhverdag der du opplever deg verdifull og trygg. Dette er noe av det vi kan tilby deg:

Et arbeidsmiljø der tillit og kultur står helt sentralt. Du blir lyttet til og får støtte fra et lag med eksperter med høy yrkesstolthet innen ulike fagmiljøer. Du har alltid folk rundt deg som er villige til å strekke ut en hånd. I Telenor er folk det viktigste vi har, så det jobbes kontinuerlig og iherdig med å skape en kultur og et miljø der du skal ha det godt.

En smidig arbeidshverdag med full fleksibilitet til å jobbe der du ønsker. En velutstyrt digital rigg gjør det mulig å jobbe hjemme eller fra hytta når du trenger det - men vi har også superflotte lokaler og trives sammen, så det er skikkelig fint å møtes på jobb også!

Muligheten til å lære masse og skape en karrierevei i den retningen du ønsker. Telenor betyr utvikling for deg som har ambisjoner om å vokse og lære gjennom å ta ansvar og initiativ.

Som teknologer flest har du sikkert egne preferanser i forhold til arbeidsverktøy / -plattform og hos oss kan du selvsagt velge det som passer best for deg enten det er Mac, Windows eller Linux-basert.

Og så alt det som egentlig er hygienefaktorer: God lønn, svært gode ordninger for pensjon, forsikringer og foreldrepermisjon, ekstra fri koplet til jul og påske i tillegg til vanlig ferie og firmahytter i hele Norge. Vi har et aktivt bedriftsidrettslag, treningssenter på jobb, og ikke minst en behagelig arbeidshverdag i flotte lokaler, en av Norges beste kantiner og kaffebar.

Hvis du kan gi en tommellopp på disse spørsmålene bør du søke!

Har du solid erfaring med noe av dette: Vue eller React, JavaScript/TypeScript, WCAG, SEO, CMS, Java og/eller Kotlin, Rest API, Oauth, Cloud, CI/CD, Github, Kubernetes? Mangler du formell utdannelse kan dette helt fint kompenseres med relevant erfaring samt vilje og evne til å lære – vi er ikke så veldig opptatt av hvor du har lært det du kan.

Er du modig nok til å stille spørsmål og utfordre oss når du mener at vi tenker i gamle mønstre? Er du klar for å ta en rolle i en avdeling som søker å jobbe innsiktsdrevet og agilt? Vi skal pushe grensene for teknologi enten det er å skape bedre opplevelser for gamere gjennom redusert latency, bringe underholdningstjenester til kundene uavhengig av hvor de er, gjøre fjernoperasjoner mulig med lavere responstid eller utvikle tjenester vi per nå bare ser konturene av.

Liker du folk? Er du nysgjerrig på hvordan kundene tenker? Og liker du å bygge relasjoner og gode team på arbeidsplassen slik at vi kan vokse, lære og sammen skape tjenester som overgår det kundene forventer av oss?

Da gleder vi oss til å bli kjent med deg!

Nyttig å vite:

Søknadsfrist: Snarest. Vi vurderer søknader fortløpende.

Arbeidssted: Tyholt (Trondheim).

For spørsmål rundt stillingen ta kontakt med: Bjørn Lyngstad på +47 90 17 71 64.

Vi utfører bakgrunnssjekk av relevante kandidater via Semac AS.

Stillingen krever sikkerhetsklarering.

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Join us as a Software Engineer

This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions
It’s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders
We're offering this role at associate level

What you'll do

In your new role, you’ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.

You’ll also be:

Producing complex and critical software rapidly and of high quality which adds value to the business
Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
Collaborating to optimise our software engineering capability
Designing, producing, testing and implementing our working software solutions
Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

To take on this role, you’ll need at least five years of experience in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers.

You’ll also need:

Experience of working with development and testing tools, bug tracking tools and wikis
Experience in Core Java, J2EE, Spring boot, Microservices, Rest Webservices, along with Oracle, Postgres and SQL database
Experience in Docker, Kubernetes, CI/CD pipelines and tools like TeamCity GitLab, Jira, Maven and Confluence
A background in solving highly complex, analytical and numerical problems
Knowledge of cloud technologies such as AWS, Azure and GCP

Hours

Job Posting Closing Date:

28/07/2025

","hiringOrganization":{"@type":"Organization","name":"NatWest Group","sameAs":"https://www.natwestgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

Job Title: Software Engineer

Department: Product Development & Delivery

About the Role:

Unite Us is seeking a software engineer to help us as we advance the state of healthcare and social care interoperability and health informatics. This engineer will have a background contributing to large-scale products with object-oriented programming, particularly implementing APIs and contributing to platforms. This role is 90% back-end focused.

The Platform Services team focuses on core APIs and services that power the entire Unite Us product suite. Our stakeholders are both internal and external, and we navigate multiple incoming streams of work. The ideal candidate is a collaborative problem solver who enjoys working with others in a mix of green- and brown-field contexts. The software engineer should be unafraid to ask questions; this team is highly collaborative and values collective success over individual heroism.

In addition to powering Unite Us’ products, our engineering team brings to life technology solutions that advance interoperability of the Unite Us platform with new and current integration partners like community-based organizations (CBOs), Health Information Exchanges (HIEs), and systems used by all members of a whole-person care team. A background exploring the healthcare or social care problem space would be very useful but is not required.

What You'll Do:

Interrogate, synthesize, and implement acceptance criteria to deliver high-quality software solutions.
Build and maintain scalable, customizable interoperability solutions that can export and ingest data.
Contribute to both new and legacy codebases, making good design choices to lay a foundation that encourages modular, reusable, non-brittle software
Build inbound and outbound interfaces based on Industry standards (FHIR).
Enhance and maintain authentication standards such as SAML, SCIM, OAuth, and SMART
Test your own software, and work with Test Engineers to ensure comprehensive automated test coverage.
Refine product requirements as needed
Contribute to a positive, solution-focused team culture.

You’re a great fit for this role if:

2-4 years of relevant experience as a software engineer or in a related role
A strong understanding of CS fundamentals.
Proven experience successfully collaborating with immediate teammates as well as other teams in problem-solving.
Experience writing code that is clear, concise, testable, easily understood by other engineers, and accounts for errors and edge cases.
Experience understanding and making design decisions and tradeoffs
Proficiency using modern web development technologies and techniques to build web services
2 or more years of back-end and API integration experience.
Some knowledge of cloud-based SaaS development is required.
A talent for asking questions that will help to flesh out project requirements, and a curiosity about how business requirements become technical requirements
Experience mentoring and being mentored by team members in an open, respectful, flexible, empathetic manner

Preferred Experience:

Experience with open standards-based authentication frameworks, such as OAuth and SAML
Experience in creating or working in large-scale distributed applications.
Experience with Ruby or Ruby on Rails, Python, or with object-oriented and/or functional programming generally are highly desirable but not required.
Experience with CI/CD tools and Docker or Kubernetes
Experience with tracking systems like New Relic or LogDNA
Experience working in Agile teams, particularly remotely
Experience with healthcare or social care technologies like Fast Healthcare Interoperability Resource (FHIR).

Our Mission:

Unite Us’ mission is to unlock the potential of every community. Our co-founders started Unite Us in 2013 to serve the people they served with. They witnessed firsthand the barriers and inefficiencies in trying to navigate health and social services, and set out to improve that experience for veterans and their families. Unite Us quickly expanded to serving all people who need connections to care across our country. Through Unite Us’ national network and software, community-based organizations, government agencies, and healthcare organizations are all connected to better collaborate to meet the needs of the individuals in their communities. We drive the collaboration to predict, deliver, and pay for services that impact whole-person health. If you want to do well and do good, join Unite Us.

Environmental Job Requirements and Working Conditions:

This position is remote, U.S. based. Strong preference for candidates comfortable working in ET/CT time zones
This position may require 5-10% travel
The target pay range for this role is: $100,000-$135,000. This salary range represents our target hiring range for this role. The proposed salary will be dependent on the candidate's skills, experience, and competencies, as well as location.
All team members will be required to pass a background check which includes criminal, employment, and education verification

Benefits provided by Unite Us:

Medical, Dental, and Vision

We offer insurance to team members and eligible partners and dependents, including unlimited virtual mental health and acute medical visits.

Wellness

Mental health benefits, such as the Employee Assistance Program (EAP) and wellness platform subscription, are available to all team members.

Flexible Time Off

Take what you need, including volunteer days and mental health days. We also offer 14 paid, company-wide holidays.

Paid Parental Leave

Adoptive parents are included.

Employee Resource Groups

Choose to join any of our ERGs, which celebrate and support a diverse and inclusive workplace.

Spending Accounts

We offer tax-advantaged health savings accounts (HSAs), flexible spending accounts (FSAs), and commuter benefits.

401(k) + Employer Match

Enjoy matching, immediate vesting and financial wellness resources

Additional Benefits

Life and AD&D - a company paid benefit, with the option to purchase additional coverage for yourself and your dependents

Disability Coverage

Accident Insurance

Pet Insurance

As part of this work at home job, we will provide you with all the necessary equipment to perform your duties, including a computer, mouse, keyboard as well as other items on our approved list of WFH supplies.

Unite Us is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. If you require assistance in applying for open positions due to a disability please email us at peopleops@uniteus.com to request an accommodation.

#LI-Remote

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At Octopus Energy, we’re not your typical utility company. We’re a team of passionate people working every day to make energy 100% renewable, accessible, and fair for everyone.
We believe technology and innovation are key drivers of change. Our mission is to transform the way the world consumes energy breaking down barriers, simplifying processes, and delivering a more human and transparent service.
That’s why our commitment is clear: clean energy should be the norm, not the exception. To achieve this, we combine sustainability with a people-first approach, delivering outstanding service and building a team that shares our vision.
💡 But none of this would be possible without people like you. To keep growing and transforming the energy sector, we’re looking for talent that wants to make a real difference. If you want to be part of this change, bring your energy, and help build a greener future, we want to meet you!!
🔍 What are we looking for?
We’re looking for a Software Engineer to join a very special team within Octopus Energy Spain.
This isn’t a traditional dev role you’ll be part of a small, agile, cross-functional unit focused on quickly building impactful MVPs that make life easier for both our teams and our customers. Your mission will be to identify real needs across the business, propose practical tech solutions, and bring them to life at speed.
If you're curious, proactive, and passionate about solving real-world problems with code, this is your chance to kick off your tech career by doing meaningful work from day one.
🐙 We call it the ‘Octopus Effect’
Working at Octopus Energy means being part of a company where culture and people come first.
💜 We’re committed to flexibility and work-life balance. 🚀 We want you to grow and reach your full potential. 🌱 We believe in a fairer and more sustainable energy model.
We’re waiting for you! 🚀
\n

🧠 What you’ll do

Collaborate closely with different teams (Operations, Marketing, Tech, Customer Support…) to deeply understand their workflows, identify friction points, and turn real needs into technical solutions.
Design, prototype, and build internal tools or MVPs that optimize processes or enhance customer experience from internal dashboards to smart process automations.
Use your backend development skills (in Python, JavaScript/Node, or Ruby) to build services, automate tasks, integrate with internal/external APIs, and work with SQL.
Identify opportunities, pitch and test ideas fast, and evolve solutions based on real user feedback (internal or external).
Work in a hybrid, flexible environment where autonomy is encouraged, experimentation is constant, and learning is part of the everyday workflow.
Grow by doing: you’ll learn quickly, supported by a team that shares knowledge, helps you thrive, and celebrates your progress.

🎯 What you’ll need to thrive

Solid experience with backend programming using Python, JavaScript/Node, or Ruby through personal projects, bootcamps, internships, or early job experience (it all counts!).
A technical background in Computer Science, Software Engineering, Telecommunications, or a related field. Whether you're wrapping up your studies or have just graduated, this is a great place to start.
A genuine passion for solving real-world problems whether they’re internal inefficiencies or user experience challenges, with quick, effective tech solutions.
Curiosity and initiative: you don’t wait to be told what to build, you explore, ask questions, and identify opportunities on your own.
Comfort with ambiguity and fast-paced environments, priorities change fast here, and we need people who can adapt and thrive in motion.
A willingness to fail fast, learn quickly, and improve constantly. You’re not afraid to experiment and iterate.
Basic knowledge of web technologies, APIs, and databases (SQL), and how modern systems fit together.
Fluent Spanish and fluent English, we work with international teams and many of our tools, documentation, and meetings are in English.

Bonus points

💜 Why Join Us? Here’s What We Offer

📍 Location: Valencia or Remote.
⏰ Full-time (40 hours/week)

Perks

💰 Octopus Energy share options
☕ Office breakfast and fresh fruit
🏥 Flexible benefits (meal vouchers, transport, childcare, private health insurance...)
🚘 Support for electric vehicle purchases
🏦 Pension plan
🎓 Training and professional development
🎉 Fun, inclusive and collaborative team culture
🍽️ Regular team events (like our “Family Dinners”)

💚 Why You’ll Love Working Here

At Octopus Energy, we do things differently. We believe in a workplace where you can be yourself, grow professionally, and feel part of a team that genuinely wants to change the world.

🏆 We’re a Great Place to Work! On Glassdoor, we’ve been recognized as one of the Top 50 Best Places to Work, and our culture has been highlighted time and again.

🎙️ Want to learn more about how we work? Listen to our CEO in this podcast where he talks about our culture and values.

📩 Ready to Join the Change?
If you're excited about building a more sustainable future with us, we’d love to hear from you!
📎 Send us your CV, and if your profile fits, we’ll be in touch.
We can’t wait to meet you! 😉","hiringOrganization":{"@type":"Organization","name":"Octopus Energy","sameAs":"https://octopus.energy/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Valencia (ES)","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Software Engineer","datePosted":"2025-07-21","description":"

👋 Hi there! Just graduated with a computer science/engineering degree and looking for your next challenge? If you're looking to make a real-world impact fast while leveling up your skills in a high-growth startup, we might be the right place for you!

🚗 Why join Jerry?

We’re Jerry, and we’re building the first AI-powered AllCar™ app to completely rethink what it means to own a car. Car insurance, maintenance, repairs, financing—we’re simplifying it all into one seamless mobile experience. Our users already save over $1,000/year with us, and we’ve grown revenue 60x in the last 5 years.

Now we’re scaling from 5M to 50M users, and we need sharp, curious engineers to help us get there.

🌟 Here’s what you’ll get:

✅ Impact from Day One — you’ll be writing production code within your first few weeks.

✅ Backed and booming — we’ve raised $240M+ and are cash-flow positive.

✅ Modern tech stack — React, Node, Python, AWS, TypeScript, and more.

✅ Mentorship + learning — work with top engineers from companies like Nvidia, TikTok, and Cepton.

✅ Merit-based growth — no seniority theater here. You grow fast if you deliver and learn fast.

🫵 What you’ll be working on

You’ll join one of our engineering pods (core app, retention, automation) depending on your interests and skills. Every team ships regularly, works closely with product, and contributes to a mission that matters.

We don’t expect you to know everything on day one, but we do expect:

A love for learning
Comfort with ambiguity
Hustle and curiosity
Pride in building high-quality, user-first software

💻 Our stack:

Frontend: React, React Native
Backend: NodeJS + TypeScript
Infra: AWS, Go, Python, Docker, CI/CD
Data: Redis, Postgres, DynamoDB, Clickhouse
AI/ML: Python pipelines, LLM integrations, internal models

You don’t need to know it all—but if some of that excites you, let’s talk.

🚀 What we’re looking for:

Bachelor’s degree in Computer Science, Engineering, or a related field (or graduating soon)
Internship, co-op, or side project experience is a plus—but not required
Eagerness to learn, build, and grow

While we appreciate your interest and application, only applicants under consideration will be contacted.

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.

Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Ontario","addressCountry":"Canada","addressRegion":"North America"}}}}]}

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Intermediate or Senior Software Development Engineer - ML Ops US Federal

Senior Software Quality Engineer - Model Inferencing (Pytest, ML Ops, Kubernestes/Openshift)

Software Engineer/Senior Software Engineer

Software Engineer/Senior Software Engineer

Senior Software Engineer /Software Engineer

Software Engineer/Senior Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer