ASOS

Machine learning engineer in recommendation systems

In short

This role builds and operates production machine learning systems for ASOS's Search & Recommendations team, covering personalised recommendations, product ranking and AI-powered styling experiences. It's a mid-level, hybrid position in London requiring hands-on experience deploying ML solutions in production with frameworks like PyTorch, TensorFlow or XGBoost, plus solid software engineering and MLOps fundamentals. The work involves close collaboration with Applied Scientists and Engineers to move models from experimentation into robust, scalable production systems.

About the Role
We're looking for a Machine Learning Engineer to join our Search & Recommendations team, where we build the machine learning systems that help millions of customers discover products every day. From personalised recommendations and product ranking to emerging AI-powered styling experiences, our work sits at the heart of the customer journey and directly influences how customers explore and shop on ASOS.
Responsibilities
•Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
•Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
•Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
•Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems
•Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
•Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
•Helping to improve how machine learning is developed, deployed and operated across the organisation
Requirements
•Experience developing, deploying or operating machine learning solutions in production environments
•Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
•Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
•Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
•An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale
•Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
•Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches
Benefits
•Employee discount (ASOS discount!)
•Employee sample sales
•25 days paid annual leave + an extra celebration day for a special moment
•Private medical care scheme
•Fixed Annual Payment in addition to your salary each year, as an extra thank you
•Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

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