ASOS
E-Commerce
MachineLearningEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Machine Learning Engineer at ASOS. Skills: Machine Learning Engineering, MLOps. Design production-grade ML systems. Build production-grade ML systems”
What You'll Achieve.
Influence customer experience; Influence commercial outcomes
Industry & Context.
What They're Looking For.
Must Have
Experience developing or deploying ML solutions, Familiarity with ML frameworks, Familiarity with model deployment workflows, Experience training models using GPUs, Understanding of software engineering practices, Version control experience, CI/CD experience, Containerisation experience, Monitoring experience, MLOps context experience, Collaborative working style, Clear communication, Comfort working across disciplines
Nice to Have
Interest in distributed systems, Interest in scalable systems
What You'll Do.
Design production-grade ML systems
Build production-grade ML systems
Develop recommender systems
Improve recommender systems
Develop ranking models
Improve ranking models
Deploy models batch environments
Deploy models real-time environments
Contribute to engineering best practices
Contribute to tooling
Contribute to shared ML platform
How You'll Work.
Team & Collaboration
Cross-functional teams; Machine learning engineers; Data scientists; Product partners
Communication Scope
Clear communication
Full Job Description
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. Everyone needs some help showing up as their best self. We're Disability Confident Committed - Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’re looking for a Machine Learning Engineer to join our Search & Recommendations team, where we build the systems that power how customers discover products across ASOS. This is a highly impactful space - our recommendation and ranking models sit directly in the customer journey, powering experiences like “similar items”, “people also viewed”, and real‑time personalised journeys that adapt as customers browse. These systems run at global consumer scale, continuously learning from customer behaviour - including clicks, views, and interactions - to dynamically rank and surface the most relevant products in real time. Working in a cross‑functional team of machine learning engineers, data scientists, and product partners, you’ll help take models from experimentation into robust, production systems that directly influence customer experience and commercial outcomes. You’ll also contribute to the next generation of discovery at ASOS - from sequence‑based recommendation models to emerging areas like outfit generation and AI‑driven styling experiences. What you'll be doing * Designing and building production-grade machine learning systems that power personalisation and discovery * Developing and improving recommender systems and ranking models used across the customer journey * Deploying models into batch and real-time environments, ensuring scalability, reliability, and performance * Collaborating with data scientists to translate experimental models into production-
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