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Senior Machine Learning Engineer (Recommendations/Search)

London, England, United Kingdom

Likely evergreen, first seen by us today
Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey.

From the employer’s posting
Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS.

What you’ll bring

All qualifications

Core experience

  • Experience designing, building and deploying machine learning systems in production environments.
  • Strong understanding of machine learning engineering principles and modern software engineering practices.
  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.
  • Experience training and optimising models using large datasets and distributed compute infrastructure.
  • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.
  • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.
Qualification wording
Experience designing, building and deploying machine learning systems in production environments.
Strong understanding of machine learning engineering principles and modern software engineering practices.
Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.
Experience training and optimising models using large datasets and distributed compute infrastructure.
Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.
Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.
Apply at ASOS

Posting record

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Likely evergreenReposted 4 times since Sep 9, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1
Reposted
4 times since Sep 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 53.

At ASOS, jobs usually come down by about day 10.

From 36,450 similar postings that came down, and 33 of ASOS’s. Coming down is not always a hire.

ASOS is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Other hiring is picking up
  • Takes jobs down quickly
  • 77% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • PyTorch
  • TensorFlow
Where the posting names them
- Strong understanding of machine learning engineering principles and modern software engineering practices. - Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar. - Experience training and optimising models using large datasets and distributed compute infrastructure.

Your next step

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Has ASOS posted this job before?

Yes. We’ve followed 3 other Senior Machine Learning Engineer (Recommendations/Search) jobs there since September 2026. 3 came down, usually after about 13 days.

  1. LondonCame down after 13 days, first seen Sep 19
  2. LondonCame down after 19 days, first seen Oct 2
  3. LondonCame down after 13 days, first seen Oct 23
  4. This jobUp 0 days so far, first seen Nov 5

If this one keeps the same pace, it may come down around November 18.

Large employers often post one title for several teams, so these can be separate openings.

Job description

View original posting ↗

Job Description

We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations 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 reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences.

You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers.

Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS.

What you’ll be doing:

  • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences.
  • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes.
  • Deploy and optimise batch and real-time machine learning models serving millions of customers.
  • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS.
  • Improve system performance, reliability, observability and scalability across the machine learning lifecycle.
  • Contribute to technical design decisions, architecture discussions and engineering best practices.
  • Mentor and support other engineers through coaching, collaboration and knowledge sharing.
  • Help strengthen technical practices across the team and the wider machine learning community at ASOS.
  • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams.

Qualifications

About You

We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths.

  • Experience designing, building and deploying machine learning systems in production environments.
  • Strong understanding of machine learning engineering principles and modern software engineering practices.
  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.
  • Experience training and optimising models using large datasets and distributed compute infrastructure.
  • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.
  • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.
  • Experience building reliable, observable and scalable services in cloud environments.
  • Comfortable providing technical leadership and mentoring other engineers.
  • Strong collaboration and communication skills, with experience working in cross-functional product teams.
  • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products.

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 

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.

Source details

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Location & working pattern

London, England, United Kingdom

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