Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer
London, England, United Kingdom
Likely evergreen, first seen by us 6 days ago- 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 postingDesign, build and maintain production-grade machine learning systems for personalisation and discovery
Develop and improve recommender systems and ranking models
Deploy models into batch and real-time environments with reliability and scale
Monitor, evaluate and iterate on models using real customer behaviour and metrics
Contribute to engineering best practices and MLOps tooling
From the employer’s posting
Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
What you’ll bring
All qualificationsCore experience
- Experience developing, deploying or operating ML solutions in production
- Familiarity with ML frameworks such as PyTorch, TensorFlow or XGBoost
- Software engineering fundamentals: version control, CI/CD, testing, containerisation
- Strong collaboration and communication skills across engineering, science and product
Qualification wording
Experience developing, deploying or operating machine learning solutions in production environments
Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
Posting record
Report an errorLikely evergreenReposted 3 times since Sep 14, 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
- Oct 29, 20266 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 4, 2026
- Reposted
- 3 times since Sep 14, 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
ASOS is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is steady
- Takes jobs down quickly
- 62% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- PyTorch
- TensorFlow
- XGBoost
Where the posting names them
- Experience developing, deploying or operating machine learning solutions in production environments - Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies - Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has ASOS posted this job before?
Yes. We’ve followed 2 other Machine Learning Engineer jobs there since September 2026. 2 came down, usually after about 19 days.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
We're looking for a Machine Learning Engineer to join our Search & Recommendations team, where we build the machine learning systems that help millions of customers discover products every day.
From personalised recommendations and product ranking to emerging AI-powered styling experiences, our work sits at the heart of the customer journey and directly influences how customers explore and shop on ASOS.
Our recommendation and ranking systems power experiences such as Similar Items, People Also Viewed, and personalised customer journeys that adapt in real time based on customer behaviour. These systems operate at significant scale, using signals from millions of interactions to surface the most relevant products and content.
As a Machine Learning Engineer, you'll work across the full machine learning lifecycle – from experimentation and model development through to deployment, monitoring and optimisation in production environments. You'll collaborate closely with Machine Learning Engineers, Applied Scientists, Software Engineers and Product partners to transform ideas into reliable, scalable systems that deliver measurable customer and commercial impact.
You'll also help shape the future of discovery at ASOS, contributing to areas such as next-generation recommendation systems, sequence-based modelling, outfit generation and AI-driven styling experiences.
What you'll be doing
- Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
- Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
- Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
- Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems
- Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
- Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
- Helping to improve how machine learning is developed, deployed and operated across the organisation
Qualifications
About You
We're keen to hear from Machine Learning Engineers who enjoy solving real-world problems, learning from others and building systems that deliver meaningful impact.
You don't need to meet every requirement below to apply. If this role sounds exciting and aligns with your experience or career ambitions, we'd love to hear from you.
- Experience developing, deploying or operating machine learning solutions in production environments
- Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
- Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
- Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
- An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale
- Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
- Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches
Additional Information
BeneFITS’
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Private medical care scheme
- Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
- 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.
Everyone needs some help showing up as their best self. We're Disability Confident Committed - Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, England, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.