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 DescriptionWe're looking for a Senior Machine Learning Engineer to join our cross-functional Outfits Discovery 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. We develop large-scale machine learning systems that power personalised outfit recommendations, style discovery and intelligent product experiences throughout the customer journey.
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 Machine Learning Scientists, Software Engineers and Product Managers, you'll help translate innovative ideas and research into reliable, customer-facing products that deliver measurable value for both customers and the business.
This is an opportunity to work on challenging problems spanning recommendation systems, deep learning, personalisation and large-scale inference, while contributing to the future direction 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.
- 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.
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.
- Experience applying deep learning techniques to real-world business or customer challenges.
- Hands-on experience with modern deep learning frameworks such as PyTorch, TensorFlow or similar technologies.
- Experience training and optimising machine learning models using distributed GPU infrastructure and large-scale datasets.
- Strong understanding of software engineering fundamentals and modern engineering practices, including CI/CD, containerisation, observability and automated testing.
- Experience with MLOps practices, including model deployment, monitoring and lifecycle management.
- Comfortable providing technical leadership, mentoring engineers and contributing to engineering decisions beyond your immediate team.
- Strong collaboration and communication skills, with experience working in cross-functional teams to deliver impactful outcomes.
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
Skills Required
- Experience designing, building and deploying machine learning systems in production environments.
- Experience applying deep learning techniques to real-world business or customer challenges.
- Hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow.
- Experience training and optimising machine learning models using distributed GPU infrastructure and large-scale datasets.
- Strong understanding of software engineering fundamentals and modern practices including CI/CD, containerisation, observability and automated testing.
- Experience with MLOps practices, including model deployment, monitoring and lifecycle management.
- Comfortable providing technical leadership and mentoring other engineers.
- Strong collaboration and communication skills; experience working in cross-functional teams.
ASOS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ASOS and has not been reviewed or approved by ASOS.
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Wellbeing & Lifestyle Benefits — Feedback suggests perks like a sizable, shareable product discount, access to sample sales, free gym access, and on-site amenities are valued. Such lifestyle-oriented benefits are frequently highlighted as standout aspects of the package.
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Leave & Time Off Breadth — Feedback suggests employees benefit from substantial annual leave with bank holidays and an extra celebratory or birthday day off, with summer early finishes referenced in some contexts. This breadth of time-off options supports work-life balance.
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Healthcare Strength — Feedback suggests access to a private medical care scheme is a core part of the package. This contributes to a perception of strong healthcare support.
ASOS Insights
What We Do
We exist to give people 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 judgment, and channel your creativity into a platform used by millions. Whatever your role, asos will encourage you to be you, fulfilling your creative potential with our global reach. Push boundaries, and challenge expectations. We’re determined to succeed, so we’ll trust you to deliver. Help drive our journey to becoming the global fashion destination for 20-somethings At ASOS our 3,000+ employees are immersed in the creative worlds and have a truly entrepreneurial attitude. Our ASOSers are authentic, brave, creative and disciplined to the core and find ways to blend our passion for fashion with cutting edge technology. Sound up your street? Join us.
