Senior Machine Learning Engineer

19 hours ago

Greater London, United Kingdom ASOS.com Full time

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too — at ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.Job DescriptionAs a Senior Machine Learning Engineer, you’ll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable, and secure ML solutions across the organization.You’ll collaborate closely with ML Engineers and Scientists embedded in product teams such as Forecasting, Recommendations, Marketing, Customer, and Pricing helping them accelerate delivery and improve the quality of ML systems by providing a robust and standardised ML development experience.What you’ll be doingDesigning and developing shared ML engineering templates, tooling, and infrastructure to support ML teams across ASOS.Driving standardisation and reusability of ML workflows, enabling consistency across diverse product domains.Enabling teams to productionise ML models efficiently by providing best practices, templates, and technical support.Implementing and promoting ML Ops principles—including CI/CD for ML, model registries, monitoring, testing, and feature management.Collaborating with ML teams to understand pain points and evolve the platform accordingly.Partnering with Data Engineering, Platform Engineering, and Security teams to ensure scalable and cost‑efficient ML infrastructure.QualificationsAbout you:Professional experience as a Machine Learning Engineer, ideally with exposure to platform or infrastructure-focused work.Solid understanding of the end‑to‑end ML lifecycle, from experimentation through deployment and monitoring.Proficiency in Python and familiarity with ML libraries like scikit‑learn, XGBoost, PyTorch or TensorFlow.Experience with ML Ops tools and practices such as MLflow, model registries, containerisation (Docker/Kubernetes), and CI/CD pipelines.Comfortable working with cloud platforms (preferably Azure) and distributed computing environments (e.g., Spark, Databricks).Passionate about improving developer experience through automation, standardisation, and tooling.Additional InformationEmployee discount (hello ASOS discount)ASOS Develops (personal development opportunities across the business)Employee sample salesAccess to a huge range of LinkedIn learning materials25 days paid annual leave + an extra celebration day for a special momentDiscretionary bonus schemePrivate medical care schemeFlexible benefits allowance – which you can choose to take as extra cash, or use towards other benefitsJob DetailsLocation: London, England, United KingdomSenior level: Mid‑Senior levelEmployment type: Full‑timeJob function: Information TechnologyIndustry: Retail #J-18808-Ljbffr

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