Machine Learning Manager

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 [email protected]. For any other non-disability related questions, please reach out to our Talent Partners.

Depop is looking for a talented Machine Learning Manager to lead our Core ML team in the UK. In this role, you will lead a team of ML Scientists, building and scaling foundational machine learning models and platforms that power multiple product and marketing use cases across Depop.

You will:

• Lead and mentor a team of ML Scientists, setting clear technical direction and fostering an inclusive, experiment-driven culture.

• Partner with Product Managers and other stakeholders to translate cross-functional business needs into an actionable Core ML roadmap that enables product velocity and measurable impact.

• Work closely with MLOps and platform partners to embed best practices and efficient ML workflows, covering CI/CD, feature management, model monitoring, and reliability.

• Collaborate with other ML teams across Depop, sharing models, tooling, and insights, and enabling reuse of foundational capabilities such as embeddings and shared services.

• Stay on the pulse of new research in areas such as multimodal representation learning, computer vision, and NLP, champion responsible AI best practices, and communicate technical insights to both technical and non-technical audiences.

Skills and Experience

• Significant experience working in Machine Learning, delivering models that solve industry-scale problems, with experience leading a team of ML Scientists and/or ML Engineers.

• Strong understanding of modern machine learning techniques

• Proven track record of delivering ML models end-to-end, including data strategy, training, deployment, and monitoring.

• Experience working in cloud-based and MLOps environments, with strong Python skills and hands-on experience using major deep learning frameworks (e.g. PyTorch), with an appreciation for building scalable, reliable ML systems.

• Strong command of experimental design, offline evaluation, and online A/B testing to guide product and platform strategy.

• Excellent collaboration and communication skills, with the ability to translate complex ML concepts clearly for product partners, engineers, and senior stakeholders.

Bonus points

• Experience building shared or platform-style ML systems

• Experience with Databricks and PySpark

• Experience working with AWS or another cloud platform (GCP/Azure)

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 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!