Staff Machine Learning Scientist – Core ML

Job not on LinkedIn

🕒 February 18

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Depop

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

👗 Fashion

🌍 Social Impact

eCommerce • Fashion • Social Impact

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. Founded in 2011 and headquartered in London, Depop also has offices in New York and Manchester, employing around 400 individuals. In 2021, Depop became a wholly-owned subsidiary of Etsy, continuing to operate as a standalone company.

📋 Description

• Own the design, development, and deployment of robust machine learning solutions to solve cross-cutting problems within the fashion resale space • Work with and fine-tune models for representation learning, computer vision, and classification, and own efforts to productionize, scale, and evolve them as shared systems • Partner closely with senior stakeholders across the business to define problems, and lead the design of general-purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation • Lead the end-to-end lifecycle of large-scale experiments, from hypothesis generation through evaluation, to guide model and product improvements, ensuring statistical difficulty and real-world applicability • Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and chip in technical expertise to long-term product and data strategy • Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping, setting technical direction and improving for the team • Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders, and influence decision making

🎯 Requirements

• Proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact • Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow • Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles • Ability to lead the end-to-end lifecycle of ML initiatives, work independently in ambiguous problem spaces, and mentor and grow other scientists and engineers • Strong collaboration and interpersonal skills, with experience aligning technical approaches with multi-functional teams and stakeholders • Experience with NLP, image classifiers, deep learning, or large language models (bonus) • Experience with experiment design and conducting A/B tests (bonus) • Experience building shared or platform-style ML systems (bonus) • Experience with Databricks and PySpark (bonus) • Experience working with AWS or another cloud platform (GCP/Azure) (bonus)

🏖️ Benefits

• 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 • 25 days annual leave with option to carry over up to 5 days • 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 • 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 • 18 weeks of paid parental leave for full-time regular employees • IVF leave, shared parental leave, and paid emergency parent/carer leave • Budgets for conferences, learning subscriptions, and more • Mentorship and programmes to upskill employees • Life Insurance (financial compensation of 3x your salary) • Pension matching up to 6% of qualifying earnings • Employees enjoy free shipping on their Depop sales within the UK. • Special milestones are celebrated with gifts and rewards!