At a Glance
- Tasks: Lead the design and deployment of advanced ranking models for Depop’s app.
- Company: Join Depop, a vibrant peer-to-peer fashion marketplace with a mission to make fashion circular.
- Benefits: Enjoy competitive pay, health perks, flexible working, and generous leave policies.
- Other info: Be part of a diverse team that values innovation and inclusivity.
- Why this job: Make a real impact in the fashion industry while innovating with cutting-edge machine learning.
- Qualifications: Experience in machine learning, strong programming skills, and a passion for mentoring.
The predicted salary is between 60000 - 80000 £ per year.
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life.
We aim 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.
Role: Depop is looking for a talented Staff ML Scientist to join our Ranking ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain ranking models to power Depop's app, serving millions of personalised results to users daily.
As a staff-level member of the team, you will be expected to set the technical vision, lead high-impact initiatives, and mentor and coach others to drive innovation at scale, while working across multiple domains and stakeholders.
Responsibilities
- Lead the design and deployment of advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces.
- Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes.
- Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration.
- Drive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy.
- Mentor, coach, and set technical direction within the Ranking ML team, helping others grow and innovate.
- Act as a thought leader in the ranking space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally.
Qualifications
- Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact.
- Proven track record in designing and optimizing learning-to-rank models.
- Deep understanding of machine learning concepts and frameworks.
- Proven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting.
- Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence.
- Excellent communication skills: able to bridge technical and non-technical stakeholders and influence decision making.
- Committed to responsible AI practices, including attention to ethics, fairness, and inclusivity.
Benefits
- Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching, Cycle to Work scheme, Employee Assistance Programme (EAP) for 24/7 confidential support.
- Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days, up to 2 days of additional paid leave per year for volunteering, fully paid 4-week sabbatical after completion of 5 years of consecutive service.
- Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options.
- Family Life: 20 weeks of paid parental leave for full-time regular employees for birth parents, 12 weeks for non-birth parents, IVF leave, shared parental leave, and paid emergency parent/carer leave.
- Learn + Grow: Twice-yearly development chats and yearly performance reviews, learning budget, upskilling with company-wide training workshops.
- Your Future: Life Insurance (financial compensation of 3x your salary), pension matching up to 6% of full base salary with Aviva.
- Depop Extras: In-office Depop Shop and a packing station with free delivery, special milestones celebrated with gifts and rewards!
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