London

Senior Machine Learning Engineer (Personalisation)

Job type
Full Time
Level
Mid-senior level
Apply now

Your Role

We're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers discover products every day.

Sitting within ASOS's Search & Recommenders area, the team is responsible for the recommendation, ranking and personalisation systems that sit at the heart of the customer journey. From surfacing the most relevant products and outfits to powering personalised shopping experiences, our work directly influences how customers discover and shop fashion on ASOS.

You'll work on large-scale machine learning systems that power experiences such as Similar Items, People Also Viewed and personalised customer journeys that adapt in real time. Leveraging signals from millions of customer interactions, we use recommendation systems, ranking models, deep learning and emerging AI technologies to connect customers with the products they're most likely to love.

As a Senior Machine Learning Engineer, you'll play a key role in designing, building and operating production machine learning systems at scale. Working alongside Applied Scientists, Machine Learning Engineers, Software Engineers and Product Managers, you'll help turn innovative ideas into reliable, high-performing systems that deliver measurable customer and commercial impact.

This is an opportunity to tackle challenging problems across recommendation systems, search, ranking, personalisation and deep learning, while helping shape the future of machine learning at ASOS.

What you'll be doing:

  • Work as part of a cross-functional team designing, building and improving machine learning systems that power search, ranking and recommendation experiences.
  • Collaborate closely with Applied Scientists and engineers to develop and deploy machine learning solutions that deliver measurable customer and commercial value.
  • Build, deploy and maintain batch and real-time machine learning models in production environments.
  • Contribute to recommendation, ranking and personalisation capabilities that support millions of customer interactions each day.
  • Continuously improve our systems, codebase and engineering practices while contributing ideas for new features and capabilities.
  • Support and mentor other engineers through coaching, knowledge sharing and technical collaboration.
  • Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community.

/01 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.

/02 Job Qualifications

About You

We're interested in candidates who bring experience in several of the following areas. You'll likely be someone who enjoys combining strong software engineering fundamentals with machine learning expertise and is excited by the challenge of building reliable, scalable systems that deliver real-world impact.

You may come from a recommendation systems, search, ranking, personalisation, deep learning or broader machine learning background. Most importantly, you'll enjoy solving complex technical problems, collaborating across disciplines and helping bring machine learning products from experimentation into production.

  • Experience applying machine learning and deep learning techniques in production environments.
  • Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
  • Experience working with distributed training infrastructure, GPU-based training environments and parallelisation approaches.
  • Strong understanding of software engineering principles, development lifecycles and MLOps practices.
  • Experience developing reliable, scalable machine learning systems in production.
  • Comfortable providing technical leadership, mentoring and support to other engineers.
  • Strong collaboration and communication skills, with the ability to work effectively across engineering, science and product teams.

/03 Additional Info

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
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The Work

Make bold moves with strong backing and serious support.

Tech enables our current success as much as our future growth, that's why our tech stack is seriously impressive. If you've got a great idea, we'll help you run with it. Our people are our greatest asset and we're always looking for new challengers who want to help us grow. 

The Potential

Boost your skills and accelerate your ambitions.

If you get a buzz out of learning new things every day, you'll love it here. We give everyone the freedom, time and investment to discover what's possible - and explore where we might go next. How far you want to take your career is up to you. 

The Culture

Feel encouraged, empowered and heard as part of our expert team.

Join us and you'll be part of a supportive, fun and friendly team of progressive thinkers, listeners and doers – all working together to solve some of the most exciting and complex tech challenges. 

The Prospects

Harness extraordinary opportunity at pace and at scale.

We're just getting started with our global ambitions. Our tech team are at the heart of it all, seizing opportunities and making disruptive breakthroughs that have a real business impact in an industry leading way. We already know who we want to become. Do you?

Team Culture

As A Team We Never Sit Still

We always have to move fast. And we rise to the challenges that come with being such a fast-growing business. After all, we wouldn’t be where we are today if we did things the same as everyone else.

Our Tech
Training @ ASOS

Whatever experience you have, there’s always a chance to grow and develop your skills further at ASOS. 

What’s It Like To Be
An Engineer @ ASOS?

From our great opportunities to even greater teams, find out why becoming an engineer at ASOS could be your perfect career move.

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Zijiao Li

Tech @ASOS

I love working at ASOS in my team because of the great atmosphere. From day one I already felt like being part of the team, everyone is so friendly, approachable and willing to help. It’s the place where you feel trusted and are given the opportunities & time to explore your full potential. As someone who just relocated to London, I also appreciate the international and cultural diverse environment – it’s ok to be whoever you want to be!

Amy Richardson

Tech @ASOS

As a software engineer with a love for fashion, I feel extremely lucky to be part of a fashion company that priorities technology, innovation and customer experience to the same degree as their clothing.

Si Jobling

Tech @ASOS

As someone who left ASOS after 7 years but came back, it speaks volumes how much I love working at ASOS. The obvious reason is the people, not just in Tech but beyond. There's an unspoken respect and authenticity between everyone who works here
  • Zijiao Li

    Tech @ASOS

    I love working at ASOS in my team because of the great atmosphere. From day one I already felt like being part of the team, everyone is so friendly, approachable and willing to help. It’s the place where you feel trusted and are given the opportunities & time to explore your full potential. As someone who just relocated to London, I also appreciate the international and cultural diverse environment – it’s ok to be whoever you want to be!
  • Amy Richardson

    Tech @ASOS

    As a software engineer with a love for fashion, I feel extremely lucky to be part of a fashion company that priorities technology, innovation and customer experience to the same degree as their clothing.
  • Si Jobling

    Tech @ASOS

    As someone who left ASOS after 7 years but came back, it speaks volumes how much I love working at ASOS. The obvious reason is the people, not just in Tech but beyond. There's an unspoken respect and authenticity between everyone who works here
what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say what our people say
EXTRAS

Benefits

We’re big on rewarding our ASOSers from day one. Benefits are great when you can flex them! That’s why we offer a wide choice of benefits focused on health, wealth, and your inner self – so you can personalise your reward package in a way that’s best for you. Here’s a taster of what you can get.

  • Employee Discount

    The most asked-about benefit! As an ASOSer, you’ll receive an exclusive employee discount. You can also nominate a family member or friend to share your discount with.

  • Pension

    Retirement might not be on your mind right now, but it’s important to prep for it. We offer matched contributions up to 5% to help you save.

  • Private Medical Care scheme

    If you join our Private Medical Care scheme, you’ll get fast and effective access to medical cover. 

  • Bonus

    What we achieve is always a team effort. That’s why we offer a discretionary bonus scheme which rewards you based on our group financial and strategic performance.

  • Celebratory Day!

    Get an extra day off in addition to the 25 days of annual leave you get! Spend it celebrating the big days in life, whether it’s birthdays, cultural holidays, weddings and anything else.

  • Shuttlebus Service (if you're based in our Leavesden office)

    It’s more of a work perk, but we offer a free shuttlebus between Watford station and our office in Leavesden.

  • Sample Sales

    We’ve always got fun things happening in our offices, but the one ASOSers get most excited about is our sample sales. Plus, all proceeds from the sample sale get donated to the ASOS Foundation, which helps our charity partners abroad. 

  • Career Development

    You’ll have the opportunity for personalised learning and in-the-moment experiences to create a dynamic and agile learning environment that empowers you to thrive and excel in your role.

  • Summer Hours

    We finish at 3pm on Fridays in June, July and August!! This perk doesn’t mean a dip in your salary – it just gives you extra freedom to enjoy those summer weekends however you want.

Location

Our HQ in London

Our HQ in Camden was once a cigarette factory – now, the iconic Art Deco building has been completely renovated with spacious office areas, ASOS Studios (where we shoot all our products), beauty rooms and a free gym. There’s also a subsidised canteen and café. 

Recruitment
Process

  1. Apply online

  2. Call back & Interview

  3. Decision & Onboarding