At a Glance
- Tasks: Design and build AI-powered fashion experiences that help customers discover their style.
- Company: Join ASOS, a leading online fashion retailer committed to inclusivity and creativity.
- Benefits: Enjoy a generous employee discount, flexible benefits, and 25 days of annual leave.
- Other info: Collaborative environment with opportunities for personal growth and technical leadership.
- Why this job: Make a real impact in the fashion industry with cutting-edge machine learning technology.
- Qualifications: Experience in deploying machine learning systems and strong software engineering skills.
The predicted salary is between 63000 - 77000 £ per year.
We’re ASOS, the online retailer for fashion lovers all around the world. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.
We'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.
- 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.
- 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.
Experience designing, building and deploying machine learning systems in production environments. 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.
Employee discount (hello ASOS discount!) ~ 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.
Senior Machine Learning Engineer (M/F/D) employer: ASOS
ASOS is an excellent employer that fosters a dynamic and inclusive work culture, offering hybrid working arrangements that promote work-life balance. Employees benefit from generous perks such as 25 days of paid annual leave and exclusive discounts, while also having ample opportunities for professional growth in a fast-paced, technology-driven environment focused on innovation in payment processing.
