Depop
201 - 500 employees
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 35 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption.
Staff Machine Learning Scientist, Ranking
đź•’ February 24
🇬🇧 United Kingdom – Remote
⏰ Full Time
đź”´ Lead
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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Depop
201 - 500 employees
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 35 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption.
đź“‹ Description
• 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.
🎯 Requirements
• 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 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!
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