Senior Machine Learning Engineer, Ranking

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🕒 vor 5 Monaten

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🟠 Senior

🤖 Machine-Learning-Entwickler

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

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Depop

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

🛍️ eCommerce

👗 Mode

🌍 Soziale Wirkung

eCommerce • Fashion • Social Impact

Depop ist der community-gesteuerte Marktplatz für zirkuläre Mode, auf dem jeder begehrte, erschwingliche Second-Hand-Mode kaufen, verkaufen und entdecken kann. Zusammen mit seiner Community von etwa 35 Millionen registrierten Nutzern verfolgt Depop das Ziel, Mode zirkulär zu gestalten – indem es mehr Menschen ermutigt, sich für Second-Hand zu entscheiden und die Lebensdauer ihrer Kleidung zu verlängern, und dadurch den Modekonsum neu definiert.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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!