Head of Machine Learning (Recommendations, AI Stylist & Search) at ASOS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Engineering Leadership, Search Systems, Recommendations Systems, Distributed Systems, Data Pipelines, Information Retrieval, Applied ML, Technical Strategy, Product Development, Collaboration, Communication, Influencing, Team Building, Innovation, Technical Excellence

Industry

Retail Apparel and Fashion

Description

Company Description We’re ASOS, the online retailer for fashion lovers all 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. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. Job Description We are looking for a Head of ML Engineering to lead our Search & Recommendations team, a mission-critical function at the heart of our customer experience. You will set the vision, define the technical strategy, and inspire product development teams to deliver world-class discovery experiences. Focused on consumer mobile and web e-commerce, this role operates at huge scale: over 2.5 billion visits a year, 23 million active customers, and 50 million unique visitors per month. You’ll partner with Product, Data Science, and Design to build systems that are fast, relevant, and reliable, guiding the evolution of our discovery and customer experience platforms. The Details: Define the technology vision and roadmap across Search, Recommendations, Category Navigation, Product Catalogue, AI Stylist, and Customer Care Experience. Build, grow, and inspire 6 product development teams and a team of 60, fostering a culture of innovation, delivery, and technical excellence. Collaborate with senior product and business leaders to align technology priorities with company strategy and customer needs. Lead the design and scaling of search and recommendations platforms, ensuring speed, relevance, and personalisation. Oversee category navigation and product catalogue systems to ensure customers can easily browse and find products at scale. Partner with Data Science to embed AI-driven experiences (e.g. AI Stylist) into the shopping journey. We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed. Qualifications About You: Significant experience leading engineering teams in fast-moving digital businesses. Proven track record scaling search, recommendations, ranking or discovery systems in consumer-facing products. Deep knowledge of distributed systems, large-scale data pipelines, information retrieval, and applied ML. Strong technical leadership with the ability to balance strategic vision with hands-on problem solving. Excellent communicator and influencer, able to build trusted relationships across Product, Data, and Design. Passion for building diverse, inclusive, and high-performing teams. Additional Information 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.

Responsibilities

Lead the Search & Recommendations team to define the technology vision and roadmap. Collaborate with product and business leaders to align technology priorities with company strategy and customer needs.