Trustpilot
Machine Learning Engineer
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Machine Learning Engineer at Trustpilot
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!
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.
About the Role
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.
Responsibilities
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Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring high performance and scalability.
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Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows.
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CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.
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Model Monitoring: Help monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time.
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Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
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Optimisation: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery.
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Agentic Development: Develop MCP servers and A2A agents through our internal framework for managing multi-agent orchestrated deployments.
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Ideal Qualifications
We’re looking for someone with a solid technical foundation in both machine learning and software engineering. If you don’t meet every single requirement 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 on cloud platforms like GCP, AWS, or Azure.
- Experience with CI/CD pipelines for machine learning (e.g., GitHub Actions, Docker).
- Experience with ML platforms/frameworks (e.g., Vertex AI, Kubeflow, SageMaker).
- Experience with data processing frameworks and tools (e.g., Spark, Databricks), particularly Apache Beam/Dataflow being highly desirable.
- Knowledge of monitoring and maintaining models in production.
- Experience with performance/cost optimisation is highly desirable (e.g., 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.
Benefits
- 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 time giving back to the causes you care about.
- Rich learning and development opportunities supported through 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.
- A central office location complete with all the snacks and refreshments you want.
- 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 (travel, electronics, fashion, fitness, movie ticket discounts, etc.).
- Commitment to diversity, equity, and inclusion, valuing all forms of difference and experience.
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About Us
Trustpilot began in 2007 with a simple yet powerful idea: to be the universal symbol of trust, bringing consumers and businesses together through reviews.
Today, we have more than 300 million reviews, 64 million monthly active users globally, 140 billion annual Trustbox impressions, and the numbers keep growing. We have over 1,000 employees, with offices across Copenhagen, Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan, and New York.
Our Culture
We’re driven by connection. It’s at the heart of everything we do. Our culture keeps things fresh—built on relationships, collaboration, and mutual respect. Together, we bridge cultural and geographic divides to build trust in an ever-changing world.
We take pride in being multicultural at Trustpilot—over 50 nationalities represented, with offices designed for well-being and meaningful connections.
Our purpose is bold, grounded in the idea of helping people and businesses help each other. We work hard but keep things lively and inclusive without the bureaucratic fuss.
Join us at the heart of trust, and help shape a career you can be proud of.
Diversity and Inclusion
Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive. We welcome candidates from diverse backgrounds and experiences—your voice and perspective are valuable to us.
If you have a disability and would like to discuss adjustments to the application or recruitment process, please get in touch with our Talent Acquisition Team at:
talent.acquisition@trustpilot.com (quote the role in your request).
Trustpilot will consider all applications without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
We are equal opportunity workplace, here to foster diverse perspectives and meaningful dialogue. Together, we can build a better world of trust.
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