Were looking for a Senior Machine Learning Engineer to join our crossfunctional Personalisation team. In this role, youll help design, build and run machine learning systems that enable customers to discover and shop outfits that reflect their personal style as well as current fashion trends. This is a senior individual contributor role where youll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and highimpact use of machine learning. What youll be doing • Working as part of an agile, crossfunctional team to build and improve algorithms used in areas such as pricing and customer targeting • Collaborating with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds of millions of products and customers • Deploying and maintaining both batch and realtime machine learning models in production environments • Improving and evolving our codebase, tooling and platforms, and contributing to the design of new features and capabilities • Supporting and mentoring more junior team members, helping them develop their technical skills and confidence • Contributing to technical direction, helping define machine learning standards, and sharing knowledge across ASOSs wider ML and engineering community About you: • Professional experience applying machine learning in realworld, production environments, with a focus on deep learning techniques • Experience working with recommendation or ranking systems (or a strong interest in this space) • Familiarity with modern deep learning frameworks and distributed computing approaches for training largescale models • Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this area • A solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and tooling • Comfortable providing technical guidance, mentoring and support to a small number of lessexperienced engineers • Enjoy collaborating across teams and contributing to shared engineering initiatives BeneFITS • 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