Machine learning engineer in ecommerce

At ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking for a Senior Machine Learning Engineer to join our Customer & Martech team. In this role, you'll help build and scale machine learning products that support customer growth, marketing effectiveness, pricing and personalisation.

• Design, build and operate machine learning systems that support customer engagement, marketing effectiveness, pricing and commercial decision-making.
• Own the end-to-end engineering lifecycle of machine learning products, including data ingestion, feature engineering, deployment, monitoring and optimisation.
• Productionise advanced machine learning solutions and ensure they operate reliably at ASOS scale.
• Partner closely with Applied Scientists to translate research and experimentation into scalable production systems.
• Help shape the future of our MLOps platform by contributing to engineering best practices, operational excellence and platform capabilities.
• Build reusable tooling, frameworks and infrastructure that accelerate machine learning delivery and reduce operational overhead.
• Influence technical direction and architectural decisions across machine learning products and platforms.
• Mentor colleagues and support high standards of engineering quality, reliability and scalability.

• Experience building, deploying and operating machine learning systems in production environments.
• Strong software engineering fundamentals, including expertise in Python and modern engineering practices.
• Experience building scalable batch and real-time machine learning pipelines in cloud environments.
• Strong understanding of MLOps principles, including model deployment, monitoring, CI/CD, observability and operational excellence.
• Experience working with large-scale data processing technologies such as Spark.
• Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies.
• Experience designing reliable APIs, services and platforms that support machine-learning-powered products.
• Ability to work through ambiguity and lead complex technical initiatives.
• Experience in customer intelligence, marketing optimisation, pricing, forecasting or personalisation.
• Experience building feature platforms, ML platforms or shared machine learning infrastructure.
• Exposure to experimentation frameworks, causal inference or measurement platforms.
• Experience mentoring engineers and influencing technical direction beyond your immediate team.
• A track record of delivering machine learning solutions that generated measurable customer or commercial outcomes.

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role