Machine Learning Engineer, Recommendations

Depop is looking for a Machine Learning Engineer to join the Recommendations team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised product recommendations across key surfaces across the app.

Responsibilities

You will:

• Design and implement pipelines for training, evaluating, deploying, and monitoring retrieval models
• Work closely with ML Scientists to productionise recommendation models, improving reliability, latency, and observability
• Build and optimise embedding generation and recommendations serving
• Partner with backend and product teams to define integration requirements and coordinate deployments of recommendation services
• Help extend the recommendations ML infrastructure in collaboration with MLOps, including:

• Reproducible training workflows
• CI/CD for model deployment
• Real-time and batch model serving
• Online/offline feature consistency
• Monitoring and alerting

• Maintain high standards for operational excellence, testing, and incident response
• Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact

• Proven experience building and deploying ML pipelines in production
• Experience with recommendation, retrieval, or ranking systems (e.g. two-tower models, embeddings, candidate generation)
• Solid understanding of ML workflows from research to production
• Strong ownership mindset and ability to work independently
• Excellent communication skills across technical and non-technical stakeholders
• Experience designing systems in modern cloud environments (e.g. AWS, GCP)

Technologies and Tools

• Python
• ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
• ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing)
• Spark and Databricks
• AWS services (e.g. IAM, S3, Redis, ECS)
• CI/CD tooling and best practices
• Streaming and batch systems (e.g. Kafka, Airflow, RabbitMQ)

Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards! Print