{"id":2120467,"url":"https://alion.io/job/depop-staff-machine-learning-scientist-ranking","title":"Staff Machine Learning Scientist, Ranking","company":{"id":51473,"name":"Depop","domain":"depop.com","url":"https://alion.io/company/depop","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":254000,"period":"year","method":"role_seniority_country_cell","sample_n":22},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-22T01:18:46Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"Company Description\nDepop 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.\nFounded 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 believe that everything you want already exists, and our role is to help people discover it.\nPowered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com\nWe 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.\nWe’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.\nAI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.\nIf, 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 .\nRole\nDepop 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.\nAs 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.\nResponsibilities\nYou will:\nLead the design and deployment of advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces.\n\nCollaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes.\n\nLead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration.\n\nDrive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy.\n\nMentor, coach, and set technical direction within the Ranking ML team, helping others grow and innovate.\n\nAct as a thought leader in the ranking space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally.\n\nQualifications\nSkills and Experience\nSignificant 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\n\nProven track record in designing and optimizing learning-to-rank models\n\nDeep understanding of machine learning concepts and frameworks\n\nProven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting.\n\nAdvanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar.\n\nExperience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence.\n\nExcellent communication skills: able to bridge technical and non-technical stakeholders and influence decision making.\n\nCommitted to responsible AI practices, including attention to ethics, fairness, and inclusivity.\n\nA genuine curiosity about AI and a willingness to explore how it can enhance your day-to-day work\n\nAdditional Information\nHealth + Mental Wellbeing\nPMI and cash plan healthcare access with Bupa\nSubsidised counselling and coaching with Self Space\nCycle to Work scheme with options from Evans or the Green Commute Initiative\nEmployee Assistance Programme (EAP) for 24/7 confidential support\nMental Health First Aiders across the business for support and signposting\n\nWork/Life Balance:\n25 days of annual leave with the option to carry over up to 5 days\nImpact hours: Up to 2 days of additional paid leave per year for volunteering\nFully 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.\nFlexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent\nAll offices are dog-friendly\nFamily Life:\nFor birth parent: 20 weeks of paid parental leave for full-time regular employees\nFor non-birth parents: 12 weeks of paid parental leave for full-time regular employees \nIVF leave, shared parental leave, and paid emergency parent/carer leave\nLearn + Grow:\nTwice-yearly development chats and yearly performance reviews\nLearning budget\nUpskilling our employees with company-wide training workshops, materials and resources\nYour Future:\nLife Insurance (financial compensation of 3x your salary)\nPension matching up to 6% of full base salary with Aviva\nDepop Extras:\nIn-office Depop Shop (that’s free!) and a packing station with free delivery.\nSpecial milestones are celebrated with gifts and rewards!","description_format":"text","description_chars":6491,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Secondhand"],"lifecycle":[{"event":"open","at":"2026-10-08T23:57:16Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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