Job Specifications
Depop
Full-time
On-site
London, United Kingdom
Technology
Company Description
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.com
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. 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. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.
Role
Depop is looking for a dedicated Machine Learning Engineer to join our new Core ML team in the UK. You will work alongside ML Scientists, Backend Engineers, and MLOps to build, deploy, maintain, and monitor machine learning infrastructure, such as product matching pipelines, image embedding services, and lightweight classifier deployments, that support multiple product and marketing use cases across Depop.
Responsibilities
You will:
Design and implement pipelines for training, deploying, and monitoring real-time and batch ML models
Work closely with ML Scientists to productionise models and improve reliability, latency, and observability
Partner with backend and product teams across Depop to define integration requirements and coordinate deployments of shared ML components
Help design and extend the ML platform at Depop in collaboration with the MLOps team, across areas such as:
Robust prototyping and training workflows
CI/CD for model deployment
Real-time and batch model serving
Online/offline feature consistency via our feature store
Monitoring and alerting
Hold high standards for operational excellence, including testing, monitoring, maintainability, and incident response
Contribute to a strong ML engineering culture focused on scalability, collaboration, and continuous learning
Required Skills And Experience
Proven track record of building and deploying ML pipelines and contributing to ML platform tooling
Solid understanding of ML workflows and experience supporting scientists through 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 and MLOps tooling (e.g. SageMaker, Databricks, TFServing, MLflow)
Common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow)
Spark and Databricks
AWS services (e.g. IAM, S3, Redis, ECS)
Shell scripting and related developer tooling
CI/CD tools and best practices
Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ)
Additional Information
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