Join ASOS as a Senior Machine Learning Engineer based in London, United Kingdom. In this senior individual contributor role, you will design, build, and scale machine learning systems for our Personalisation team, helping millions of customers discover outfits. Enjoy competitive benefits including employee discounts, a discretionary bonus, and private medical care.
Requirements
Professional experience applying machine learning in real-world, production environments, focusing on deep learning.
Experience with recommendation or ranking systems.
Familiarity with modern deep learning frameworks and distributed computing approaches.
Solid understanding of software engineering principles, MLOps, CI/CD, containerisation, and observability.
Experience or enthusiasm for training models across GPUs using data and/or model parallelism.
No specific degree or minimum years of experience explicitly required.
Skills & Responsibilities
Deep Learning & ML Systems: Design, build, and deploy batch and real-time machine learning models in production to power personalisation, pricing, and customer targeting at scale.
Distributed Computing & GPU Training: Train large-scale models across GPUs using data and/or model parallelism with modern deep learning frameworks.
Software Engineering & MLOps: Apply software engineering principles, including data pipelines, CI/CD, containerisation, and observability to evolve codebases and platforms.
Mentorship & Collaboration: Support, mentor, and guide junior engineers while collaborating across agile, cross-functional teams to define technical standards.
Potential transition routes: People from Data Scientist or Software Engineer roles may bring strong programming and analytical skills, alongside meeting practical production machine learning experience requirements.
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’re looking for a Senior Machine Learning Engineer to join our cross‑functional Personalisation team. In this role, you’ll help design, build and run machine learning systems that enable customers to discover and shop outfits that reflect their personal style as well as current fashion trends.
This is a senior individual contributor role where you’ll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high‑impact use of machine learning.
What you’ll be doing
Working as part of an agile, cross‑functional team to build and improve algorithms used in areas such as pricing and customer targeting
Collaborating with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds of millions of products and customers
Deploying and maintaining both batch and real‑time machine learning models in production environments
Improving and evolving our codebase, tooling and platforms, and contributing to the design of new features and capabilities
Supporting and mentoring more junior team members, helping them develop their technical skills and confidence
Contributing to technical direction, helping define machine learning standards, and sharing knowledge across ASOS’s wider ML and engineering community
Qualifications
About you:
Professional experience applying machine learning in real‑world, production environments, with a focus on deep learning techniques
Experience working with recommendation or ranking systems (or a strong interest in this space)
Familiarity with modern deep learning frameworks and distributed computing approaches for training large‑scale models
Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this area
A solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and tooling
Comfortable providing technical guidance, mentoring and support to a small number of less‑experienced engineers
Enjoy collaborating across teams and contributing to shared engineering initiatives
Additional Information
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
