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Senior Machine Learning Engineer; Recommendations

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: ASOS.com
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer (Recommendations)
Location: Greater London

Job Description

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

In this role you will be a senior IC who will product ionise machine learning systems that help our customers discover and shop complete outfits that resonate with their personal style and the 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 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.
Qualifications 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 life cycles 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.
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 – you can take it as extra cash or use it towards other benefits.
  • Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.
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Position Requirements
10+ Years work experience
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