< Back to search
ASOS • London, United Kingdom

Senior Maching Learning Engineer - Style Discovery

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.

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.

Job Description

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

In role, you will a senior IC who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and 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 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.

Qualifications

About You

  • You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments.
  • You possess mastery of deep learning frameworks and distributed computing frameworks for implementing large-scale deep learning models.
  • You have proven ability to create and manage multi-instance clusters for distributed and parallel training across GPUs, demonstrating proficiency in data and model parallelism techniques.
  • You have strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
  • You’re comfortable providing technical leadership, mentoring, and coaching to more 1-2 junior engineers. You will contribute to wider engineering initiatives across ASOS.

Additional Information

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
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