At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!

At Trustpilot, we’re looking for a Machine Learning Engineer who’s ready to tackle real-world challenges and help us build robust, scalable systems for our AI models. If you’re excited about machine learning, enjoy solving complex problems, and want to work in a collaborative environment, this could be the perfect role for you.

Your role as a ML Engineer:

As part of the MLOps team, you’ll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life—ensuring they’re deployed, maintained, and monitored efficiently in production. You’ll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot’s AI-driven solutions.

Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring high performance and scalability.
Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows.
CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.
Model Monitoring: Help monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time.
Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
Optimise: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery.
Agentic Development: Develop MCP servers and A2A agents through our internal framework for managing multi agent orchestrated deployments.

Ideal Qualifications:

We’re looking for someone who has a solid technical foundation in both machine learning and software engineering. If you don’t meet every single point below, please still consider applying—what matters most to us is your growth mindset, your ability to learn quickly, and how you work collaboratively.

Experience deploying machine learning models in production environments in cloud platforms like GCP, AWS or Azure.
Experience with CI/CD pipelines for machine learning (e.g., Github action, Docker).
Experience with ML platforms/frameworks (eg. VertexAI, Kubeflow, Sagemaker)
Experience with data processing frameworks and tools(eg. Spark, Databricks), particularly Apache Beam/Dataflow is highly desirable.
Knowledge of monitoring and maintaining models in production.
Experience with performance/cost optimization is highly desirable (eg. Latency, throughput)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Problem-solving skills with the ability to troubleshoot model and pipeline issues.
Strong communication skills, enabling effective collaboration across teams.

What’s in it for you:

A range of flexible working options to dedicate time to what matters to you
Competitive compensation package + bonus
25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)
Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist
Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health
Paid parental leave
Central office with a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price
Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms
Employee discounts to restaurants and shops

About us

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.

Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.

We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.

Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

Join us at the heart of trust.

Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.

Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team ([email protected]) quoting the role you wish to apply for.

Machine Learning Engineer

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