Machine Learning Engineer

The Company:From our roots in Ireland, CarTrawler has grown into the leading B2B technology provider of car rental and mobility solutions to the global travel industry. If you’ve ever booked a flight and seen the option to rent a car, that was probably us; but it’s our people that make everything we do possible – and we’re growing!
At CarTrawler, you’ll find more than just a job. You’ll find flexibility, meaningful impact, and a culture built by the people who live it every day. Our culture is built on high performance, genuine connection, and a shared commitment to making an impact, without sacrificing personal wellbeing. With flexible working models, meaningful time off, and dedicated growth opportunities, we enable people to do great work and feel good doing it. 
We have a hybrid working policy with two mandatory days a week in our Dublin office, you have the freedom to design a routine that supports your productivity and personal life. The office offers ample car parking, a heavily subsidized (KC Peaches) canteen, convenient proximity to the Luas, and access to EV charging stations.

Role Purpose

• Support the development and maintenance of software tools that underpin Data Science solutions and operations, using modern technologies (e.g. AWS, Docker, Kubernetes) to contribute to improved business performance.
• Collaborate with business stakeholders and engineering teams to gather requirements and contribute to the design and implementation of solutions.
• Assist in maintaining and enhancing existing tools/services developed by the Data Science team.
• Build CI/CD pipelines and contribute to testing, logging, and monitoring processes under guidance.
• Participate in code reviews and follow CarTrawler best practices for clean, maintainable code.
• Continuously develop technical skills and support the wider team, working under the mentorship of senior engineers.

Responsibilities & Accountabilities

• Undergraduate degree in Computer Science, Engineering, Mathematics, or related technical field, or relevant internship/industry experience.
• Good understanding of software engineering and DevOps practices (e.g. Jenkins, Github Actions), including Object-Oriented Programming, data structures, version control, REST APIs, and containerisation tools (e.g. Docker, Kubernetes).
• Exposure to cloud platforms such as AWS or Azure.
• Experience with developing GenAI applications, or surrounding tech stack (e,g. Vector DB, NLP, LLM) seen as a plus.
• Proficient in writing clean, structured Python code; familiarity with common Python libraries used in data science and machine learning.
• Comfortable using version control systems (e.g. Git) and basic development workflows (commits, branches, pull requests).
• Exposure to ML libraries (e.g. scikit-learn; bonus for familiarity with TensorFlow or PyTorch).
• Willingness to learn test-driven development and build basic unit and integration tests with support.
• An interest in learning about production considerations like resource constraints and scalability.
• Basic SQL skills; exposure to other database types (graph, NoSQL) is a plus.
• Strong communication skills with a desire to learn how to present technical concepts clearly to varied audiences.
• A proactive and curious mindset, with a collaborative approach to learning and team engagement.
• Experience with developing GenAI applications or of supporting tech stack seen as a plus

Skills & Experience Required

• Undergraduate degree in Computer Science, Engineering, Mathematics, or related technical field, or relevant internship/industry experience.
• Good understanding of software engineering and DevOps practices (e.g. Jenkins, Github Actions), including Object-Oriented Programming, data structures, version control, REST APIs, and containerisation tools (e.g. Docker, Kubernetes).
• Exposure to cloud platforms such as AWS or Azure.
• Experience with developing GenAI applications, or surrounding tech stack (e,g. Vector DB, NLP, LLM) seen as a plus.
• Proficient in writing clean, structured Python code; familiarity with common Python libraries used in data science and machine learning.
• Comfortable using version control systems (e.g. Git) and basic development workflows (commits, branches, pull requests).
• Exposure to ML libraries (e.g. scikit-learn; bonus for familiarity with TensorFlow or PyTorch).
• Willingness to learn test-driven development and build basic unit and integration tests with support.
• An interest in learning about production considerations like resource constraints and scalability.
• Basic SQL skills; exposure to other database types (graph, NoSQL) is a plus.
• Strong communication skills with a desire to learn how to present technical concepts clearly to varied audiences.
• A proactive and curious mindset, with a collaborative approach to learning and team engagement.
• Experience with developing GenAI applications or of supporting tech stack seen as a plus

Employee Benefits

• Financial: Annual Bonus, Pension Scheme, Income Protection, Life Assurance
• Lifestyle & Working: Subsidized Canteen, Flexible Working, Work from Abroad, Sports & Social, Bike to Work, Travel Tax Saver
• Paid Leaves: Annual Leave, Company Days, Friday Unplugged, Menstrual & Menopause Leave, Marriage & Civil Partnership Leave, Volunteer Days
• Wellbeing: Subsidized Health Insurance, EAP, Flu Vaccines, Health Stations

Research shows that individuals from underrepresented backgrounds often hesitate to apply for roles unless they meet every single qualification, while others may apply when they meet only a portion of the criteria. If you believe you have the skills and potential to succeed in this role, even if you don't meet every listed requirement, we encourage you to apply. We'd love to hear from you and explore whether you could be a great fit.