Senior Machine Learning Engineer

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.

We're proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter. 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.

About the Role

We're looking for a Senior Machine Learning Engineer to join our cross-functional Outfits Discovery team, where we're building the next generation of AI-powered fashion experiences at ASOS.

Our mission is to help millions of customers discover complete outfits that match their personal style, preferences and the latest fashion trends. We develop large-scale machine learning systems that power personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey.

As a Senior Machine Learning Engineer, you'll play a key role in designing, building and operating production machine learning systems at scale. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll help turn cutting-edge research into robust, customer-facing solutions that drive measurable impact for both our customers and the business.

This is an opportunity to work on challenging problems spanning recommendation systems, deep learning, personalisation and large-scale inference, while helping shape the technical direction of machine learning across ASOS.

Responsibilities

• Design, build and operate production-grade machine learning systems that power outfit discovery and personalised fashion experiences.
• Partner with Machine Learning Scientists to productionise deep learning models and deliver measurable customer and business impact.
• Deploy and optimise batch and real-time machine learning models that serve millions of customers at scale.
• Drive improvements in system performance, reliability, observability and scalability across the machine learning lifecycle.
• Take ownership of technical design decisions and contribute to the team's architecture, standards and engineering practices.
• Mentor and support other engineers, helping raise the technical bar across the team and wider machine learning community at ASOS.
• Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams.

Requirements

• Significant professional experience designing, building and deploying machine learning systems in production environments.
• Strong expertise in deep learning techniques and experience applying them to real-world business or customer problems.
• Hands-on experience with modern deep learning frameworks such as PyTorch, TensorFlow or similar technologies.
• Experience training and optimising machine learning models on distributed GPU infrastructure and working with large-scale datasets.
• Strong understanding of software engineering fundamentals and modern engineering practices, including CI/CD, containerisation, observability and automated testing.
• Experience working with machine learning operationalisation (MLOps), including model deployment, monitoring and lifecycle management.
• Comfortable providing technical leadership, mentoring engineers and influencing engineering decisions beyond your immediate team.
• Excellent collaboration and communication skills, with experience working in cross-functional teams to deliver impactful outcomes.

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