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Senior Machine Learning Engineer, Ranking

Job not on LinkedIn

🕒 March 7

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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👻 Ghost score 45%

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Logo of Depop

Depop

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

• Design and implement pipelines for training, evaluating, deploying, and monitoring learning-to-rank models. • Work closely with ML Scientists to productionise ranking models, improving reliability, latency, and observability. • Build and optimise real-time model serving systems that deliver personalised rankings across the app. • Partner with backend and product teams to define integration requirements and coordinate deployment of ranking services. • Help extend the ML infrastructure for ranking systems in collaboration with the MLOps team, including: • Reproducible model training workflows • CI/CD pipelines for model deployment • Real-time and batch model serving • Online/offline feature consistency through the feature store • Monitoring and alerting for production models • Maintain high standards for operational excellence, including testing, monitoring, maintenance, and incident response. • Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact.

🎯 Requirements

• Proven experience building and deploying machine learning pipelines in production environments. • Experience working with ranking, recommendation, or retrieval systems. • Strong understanding of machine learning workflows, from experimentation to production deployment. • Experience designing and operating systems in modern cloud environments (e.g. AWS or GCP). • Strong ownership mindset with the ability to work independently in a fast-moving environment. • Excellent communication skills and the ability to collaborate with cross-functional stakeholders.

🏖️ 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, to give you a chance to recharge or do something you love. • 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!

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