
201 - 500 Mitarbeiter
đď¸ eCommerce
đ Mode
đ Soziale Wirkung
eCommerce ⢠Fashion ⢠Social Impact
Depop ist der community-gesteuerte Marktplatz fĂźr 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 â indem es mehr Menschen ermutigt, sich fĂźr Second-Hand zu entscheiden und die Lebensdauer ihrer Kleidung zu verlängern, und dadurch den Modekonsum neu definiert.
đ vor 6 Monaten
đŹđ§ Vereinigtes KĂśnigreich â Remote
â° Vollzeit
đ Senior
đ¤ Machine-Learning-Entwickler
đŹđ§ UK-Skilled-Worker-Visum-Sponsor
đť Geisterscore 46%
đŁď¸đşđ¸đŹđ§ Englisch erforderlich
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201 - 500 Mitarbeiter
đď¸ eCommerce
đ Mode
đ Soziale Wirkung
eCommerce ⢠Fashion ⢠Social Impact
Depop ist der community-gesteuerte Marktplatz fĂźr 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 â indem es mehr Menschen ermutigt, sich fĂźr Second-Hand zu entscheiden und die Lebensdauer ihrer Kleidung zu verlängern, und dadurch den Modekonsum neu definiert.
⢠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.
⢠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.
⢠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!
Jetzt Bewerbenđ vor 9 Monaten
Senior Engineer at Cohere building and evolving ML training frameworks for large-scale AI systems. Collaborating with diverse teams to ensure high-performance training and scalability.
đŹđ§ Vereinigtes KĂśnigreich â Remote
â° Vollzeit
đ Senior
đ¤ Machine-Learning-Entwickler
đŹđ§ UK-Skilled-Worker-Visum-Sponsor
đŁď¸đşđ¸đŹđ§ Englisch erforderlich