Senior Machine Learning Engineer (Recommendations)

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.

We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team.

In role, you will a senior IC who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities.

What you’ll be doing:

• You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space.
• You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
• You will be deploying batch and online machine learning models at high scale.
• You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
• You will be mentoring and coaching junior members of the team, supporting their technical progress.
• You will contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from the team.

About You

• Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use
• Experience working with deep learning and distributed computing frameworks to support large‑scale models
• Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise
• A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling
• Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS

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