Staff Machine Learning Scientist, Ranking

Depop

Greater London

Hybrid

GBP 70,000 - 95,000

Full time

14 days+

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Benefits offered by this job

PMI and cash plan healthcare access

Subsidised counselling and coaching

Cycle to Work scheme

25 days annual leave

Flexible working options

18 weeks paid parental leave

Life Insurance

Job summary

A leading circular fashion marketplace is seeking a Staff ML Scientist to join their Ranking ML team in the UK. This role involves leading the design and deployment of advanced ranking algorithms, working collaboratively across various teams to deliver innovative solutions. Candidates should have significant experience in machine learning, especially in learning-to-rank models, and be proficient in Python along with ML frameworks like PyTorch or TensorFlow. Join us to drive impactful initiatives and mentor others in a dynamic work environment.

Qualifications

Significant experience as a Machine Learning Scientist with measurable impact.
Experience in designing learning-to-rank models.
Deep understanding of machine learning concepts.
Ability to productionize ML models from prototyping to deployment.
Advanced programming skills in Python.

Responsibilities

Lead design and deployment of advanced ranking models.
Collaborate with product, engineering, and data teams.
Manage end-to-end lifecycle of ML projects.
Research and integrate emerging ML techniques.
Mentor and coach team members.

Skills

Machine Learning

Python

Communication

Mentoring

Tools

PyTorch

TensorFlow

Job description

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 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.

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