Machine Learning Engineer

Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way — but there’s still an exciting journey ahead. Join us at the heart of trust.

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-based solutions.

What you’ll be doing:

• Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality work 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.
• Optimize: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery.

Who you are:

• Solid technical foundation in both machine learning and software engineering.
• Experience deploying machine learning models in production environments.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms like GCP, AWS, or Azure.
• Experience with CI/CD pipelines for machine learning (e.g., Vertex AI).
• Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable.
• Knowledge of monitoring and maintaining models in production.
• Proficiency in employing containerization tools, including Docker, to streamline the configuration of deployment settings.
• Problem-solving skills with the ability to troubleshoot model and pipeline issues.
• Good 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, increasing to 28 days after 2 years of employment
• 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, LinkedIn Learning, and Blinkist
• Pension and life insurance
• Health cash plan, online GP, 24/7 Employee Assistance Plan
• Full access to Headspace, a popular mindfulness app to promote positive mental health
• Paid parental leave
• Season ticket loan and a cycle-to-work scheme
• Central office location complete with all the snacks and refreshments you can ask for
• Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
• Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.

Still not sure?

We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!