Machine Learning Engineer

Your role as a ML Engineer:

• 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.

• 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., Tensor Flow, PyTorch, scikit‑learn).
• Problem‑solving skills with the ability to troubleshoot model and pipeline issues.
• Strong communication skills, enabling effective collaboration across teams.

• 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 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

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 (tale) quoting the role you wish to apply for.