Trustpilot
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Trustpilot. Skills: Machine Learning, MLOps, CI/CD for ML. Deploy machine learning models. Build data pipelines”
Industry & Context.
Troubleshoot model issues; Troubleshoot pipeline issues
What They're Looking For.
Must Have
Experience deploying ML models in production, Experience with CI/CD pipelines for ML, Experience with ML platforms/frameworks, Proficiency in Python and ML libraries, Problem-solving skills, Communication skills
Nice to Have
Experience with data processing frameworks, Apache Beam/Dataflow experience highly desirable, Knowledge of monitoring and maintaining models, Experience with performance/cost optimization highly desirable
What You'll Do.
Deploy machine learning models
Maintain data pipelines
Integrate pipelines with systems
Design CI/CD pipelines
Implement CI/CD pipelines
Monitor model performance
Ensure model reliability
Ensure model scalability
Design solutions for business needs
Adhere to ML best practices
Adhere to software engineering best practices
Improve infrastructure
How You'll Work.
Team & Collaboration
With data scientists; With software engineers; Cross-functional teams
Full Job Description
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 an
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