About this role
Salary: £61,000 - 101,000 per year
Requirements: Professional experience applying machine learning in real-world, production environments, with a focus on deep learning techniquesExperience working with recommendation or ranking systems, or a strong interest in this areaFamiliarity with modern deep learning frameworks and distributed computing approaches for training large-scale modelsExperience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen knowledge in this areaA solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and toolingComfortable providing technical guidance, mentoring and support to a small number of less-experienced engineersEnjoy collaborating across teams and contributing to shared engineering initiatives Responsibilities: Work as part of an agile, cross-functional team to build and improve algorithms used in areas such as pricing and customer targetingCollaborate with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds of millions of products and customersDeploy and maintain both batch and real-time machine learning models in production environmentsImprove and evolve our codebase, tooling and platforms, and contribute to the design of new features and capabilitiesSupport and mentor more junior team members, helping them develop their technical skills and confidenceContribute to technical direction, help define machine learning standards, and share knowledge across our wider ML and engineering community Technologies: CI/CDSupportLESSMachine LearningMLOpsExcel More:
We are ASOS, the online retailer for fashion lovers 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. We want our team to be free to be their true selves without judgement and to channel their creativity into a platform used by millions. We are proud members of Inclusive Companies, are Disability Confident Committed, and have signed the Business in the Community Race at Work Charter. We also placed 8th in the Inclusive Top 50 Companies Employer list. We offer employee discounts, employee sample sales, 25 days paid annual leave plus an extra celebration day, a discretionary bonus scheme, private medical care, a flexible benefits allowance, and personalised learning opportunities. This is a full-time, mid-senior level role in our Information Technology function within retail, joining our cross-functional Personalisation team to help improve the customer experience through thoughtful, responsible and high-impact use of machine learning.
last updated 40 week of 2026