Trustpilot
Technology
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Trustpilot. Skills: Machine Learning, MLOps, CI/CD, Model deployment. Bring machine learning models to life. Deploy machine learning models”
Industry & Context.
Problem-solving skills; Troubleshoot model issues; Troubleshoot pipeline issues
What They're Looking For.
Must Have
Deploying ML models in production, Experience with CI/CD pipelines, Experience with ML platforms/frameworks, Experience with data processing frameworks, Knowledge of monitoring models, Proficiency in Python, Proficiency in ML libraries, Problem-solving skills, Communication skills
Nice to Have
Apache Beam/Dataflow experience, Performance/cost optimization experience
What You'll Do.
Bring machine learning models to life
Deploy machine learning models
Maintain machine learning models
Monitor machine learning models
Improve model performance
Improve infrastructure
Collaborate with data scientists
Take models from development to production
Ensure high performance
Maintain data pipelines
Build model pipelines
Maintain model pipelines
Integrate pipelines with systems
Support reliable workflows
Support efficient workflows
Design CI/CD pipelines
Implement CI/CD pipelines
Streamline model deployment
Monitor model performance post-deployment
Ensure quality over time
Adhere to best practices
Continuously improve infrastructure
How You'll Work.
Team & Collaboration
Work with data scientists; Work with software engineers; Work with stakeholders; Cross-functional teams
Communication Scope
Communication skills
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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