Machine Learning Engineer

Overview

As part of ASOS’s Search & Recommendations team, you will design and operate scalable ML systems that power personalised product discovery and ranking for millions of customers. You’ll move ideas from experimentation to production, collaborating with engineers, scientists and product partners to deliver measurable impact. This role shapes next-gen recommendation techniques and AI-driven styling experiences at scale. You will help build a reliable ML platform that accelerates discovery across the customer journey.

Pay / Benefits

• employee discount (hello ASOS discount!)
• employee sample sales
• 25 days paid annual leave + extra celebration day
• private medical care scheme
• Fixed Annual Payment in addition to salary
• personalised learning and in-the-moment experiences

Responsibilities

• Design and maintain production-grade ML systems for personalisation and discovery
• Improve recommender and ranking models and customer-facing ML capabilities
• Deploy models to batch and real-time environments with reliability and scalability
• Collaborate with Applied Scientists and Engineers to transition models from experiments to production
• Monitor, evaluate and iterate models using real customer behavior and performance metrics
• Contribute to ML engineering best practices, MLOps tooling and shared platform capabilities
• Help advance ML development, deployment and operations across the organization

Key requirements

• Experience deploying/operating ML in production
• Familiarity with frameworks like PyTorch, TensorFlow, XGBoost or similar
• Experience training models on GPUs or interest in distributed ML systems
• Software engineering fundamentals including version control, CI/CD, testing, observability and containerisation
• Understanding of MLOps practices for deploying ML at scale
• Strong collaboration and communication across engineering, science and product
• Curiosity and adaptability; eagerness to learn new technologies

• collaboration
• communication
• curiosity
• PyTorch
• TensorFlow
• XGBoost

…