< Back to search
ASOS • London, United Kingdom

Machine Learning Engineer

Employment type:  Full time
8.4

/10

Transparency ranking
Apply now

Job Description

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.

Job Description

We’re looking for a Machine Learning Engineer with an interest or background in machine learning and deep learning to join a collaborative, cross‑functional team.

You’ll work closely with data scientists and engineers to build and improve machine learning solutions across a range of data‑rich use cases, with a current focus on recommender systems. Your work will help shape customer experiences across areas such as personalisation and pricing.

This role offers the opportunity to contribute to production machine learning systems while continuing to develop your skills in model deployment, scalability, and engineering best practices.

What you'll be doing

  • Working with cross‑functional partners to design, build, and improve machine learning models for real‑world business problems, particularly recommender systems
  • Helping to deploy and support batch and real‑time machine learning solutions
  • Collaborating with data scientists to move models from experimentation into reliable, production‑ready systems
  • Monitoring and improving model performance, system efficiency, and reliability
  • Contributing to shared engineering standards, tools, and best practices within the team
  • Keeping up to date with developments in machine learning and sharing relevant insights with the wider ML community at ASOS

Qualifications

About You

We’re keen to hear from Machine Learning Engineers who enjoy learning, collaboration, and building practical solutions.
You don’t need to meet every requirement below to apply - if the role sounds like a good fit for your experience or career direction, we’d encourage you to apply.

  • Experience contributing to the development or deployment of machine learning solutions
  • Familiarity with modern machine learning frameworks and model deployment workflows
  • Experience training models using GPUs, or an interest in distributed and scalable systems
  • Understanding of software engineering practices such as version control, CI/CD, containerisation, and monitoring, particularly within ML or MLOps contexts
  • A collaborative working style, with clear communication and comfort working across disciplines
  • A willingness to learn, share knowledge, and grow in a supportive, fast‑moving environment

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 benefits

25 days annual leave + bank holidays
401K
Accrued annual leave – Max 5 days to carry over
Adoption leave – 26 weeks enhanced pay
Annual bonus
Annual pay rises
Bike parking
Birthday off
Buy or sell annual leave
Cinema discounts
Coffee discounts
Company freebies
Compassionate leave
Critical Illness Insurance
Dental coverage
Early finish Fridays
Emergency leave
Employee assistance programme
Employee discounts
Enhanced maternity leave – 26 weeks enhanced pay
Enhanced paternity leave – 8 weeks enhanced pay
Enhanced pension match/contribution
Enhanced sick days
Enhanced sick pay
Eye Care Support
Faith rooms
Family health insurance
Fertility benefits
Financial coaching
Further education support
Gym membership
Hackathons
Health insurance
Hertility subscription
In house training
On-site catering
On-site massages
On-site workout classes
On-site yoga classes
Learning platform
Life assurance
Mental health first aiders
Mental health platform access – Access to EAP (Unum)
Mentoring
Neo-natal leave – 16 weeks leave
On-site gym
On-site wellness room
Open to compressed hours
Open to part time work for some roles
Open to part-time employees
Personal development days
Pregnancy loss leave – 10 days paid leave
Private GP service
Professional subscriptions
Referral bonus
Religious celebration leave
Restaurant discounts
Sabbaticals
Salary sacrifice
Shared parental leave – 26 weeks enhanced pay
Skilled worker visas
Study support
Teambuilding days
Time off in-lieu
Travel loan
Volunteer days
Summer hours

Working at ASOS

Company employees:

3,000

Gender diversity (m:f):

35:65

Hiring in countries

Türkiye

United Kingdom

Office Locations

Other jobs you might like