Etsy is hiring a Senior Machine Learning Engineer

Depop is hiring a Senior Machine Learning Engineer to join our Ranking team in the UK. You will build, deploy, maintain, and monitor the machine learning systems that power personalised ranking across key surfaces of the Depop app, including search results and recommendations.

What You'll Do

• Design and implement pipelines for training, evaluating, deploying, and monitoring learning-to-rank models.
• Work closely with ML Scientists to productionise ranking models, improving reliability, latency, and observability.
• Build and optimise real-time model serving systems that deliver personalised rankings across the app.
• Partner with backend and product teams to define integration requirements and coordinate deployment of ranking services.
• Help extend the ML infrastructure for ranking systems in collaboration with the MLOps team.
• Maintain high standards for operational excellence, including testing, monitoring, maintenance, and incident response.
• Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact.

What We're Looking For

• Proven experience building and deploying machine learning pipelines in production environments.
• Experience working with ranking, recommendation, or retrieval systems.
• Strong understanding of machine learning workflows, from experimentation to production deployment.
• Experience designing and operating systems in modern cloud environments (e.g. AWS or GCP).
• Strong ownership mindset with the ability to work independently in a fast-moving environment.
• Excellent communication skills and the ability to collaborate with cross-functional stakeholders.

Technical Stack

• Python, Machine learning 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 data systems (e.g. Kafka, Airflow, RabbitMQ)

Team & Environment

You will work alongside ML Scientists, Backend Engineers, MLOps, and other ML Engineers in the Ranking team.

Benefits & Compensation

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

Work Mode

This role follows a hybrid model (MyMode) and is based in the UK.

We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status.