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Key skills for this role
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.
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
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London, GBR
London, GBR
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London, GBR
London, GBR
London, GBR
London, GBR
ASOS is an online fashion retailer serving global customers with own and partner clothing and beauty brands.
Visit company websiteJobs and hiring trendsFull-time
Senior
Hybrid
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