Machine Learning Engineer

ASOS.com; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Employee discount (ASOS)

Employee sample sales

25 days paid annual leave + extra day

Private medical care

Annual bonus or fixed annual payment

Personalised learning opportunities

Job summary

ASOS.com is seeking a Machine Learning Engineer to join the Search & Recommendations team in the UK, building ML systems that help millions discover products daily.

You will own end-to-end ML lifecycle from experimentation to deployment, collaborating with ML Engineers, Applied Scientists, Software Engineers and Product partners to deliver measurable business impact.

Qualifications

• Experience developing, deploying or operating machine learning solutions in production environments.
• Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies.
• Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems.
• Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation.
• An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale.
• Strong collaboration and communication skills, with experience working across engineering, science and product disciplines.
• Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches.

Responsibilities

• Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery.
• Developing and improving recommender systems, ranking models and customer-facing ML capabilities.
• Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale.
• Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems.
• Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics.
• Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities.
• Helping to improve how machine learning is developed, deployed and operated across the organisation.

Skills

Production ML

MLOps

Teamwork

Curiosity

Python

Tools

PyTorch

TensorFlow

XGBoost

CI/CD

Docker

Kubernetes

Job 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.

Everyone needs some help showing up as their best self. We're Disability Confident Committed - 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 Machine Learning Engineer to join our Search & Recommendations team, where we build the machine learning systems that help millions of customers discover products every day.

From personalised recommendations and product ranking to emerging AI-powered styling experiences, our work sits at the heart of the customer journey and directly influences how customers explore and shop on ASOS.

Our recommendation and ranking systems power experiences such as Similar Items, People Also Viewed, and personalised customer journeys that adapt in real time based on customer behaviour. These systems operate at significant scale, using signals from millions of interactions to surface the most relevant products and content.

As a Machine Learning Engineer, you'll work across the full machine learning lifecycle – from experimentation and model development through to deployment, monitoring and optimisation in production environments. You'll collaborate closely with Machine Learning Engineers, Applied Scientists, Software Engineers and Product partners to transform ideas into reliable, scalable systems that deliver measurable customer and commercial impact.

You'll also help shape the future of discovery at ASOS, contributing to areas such as next-generation recommendation systems, sequence-based modelling, outfit generation and AI-driven styling experiences.

What you'll be doing

• Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
• Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
• Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
• Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems
• Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
• Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
• Helping to improve how machine learning is developed, deployed and operated across the organisation

Qualifications

About You

We're keen to hear from Machine Learning Engineers who enjoy solving real-world problems, learning from others and building systems that deliver meaningful impact.

You don't need to meet every requirement below to apply. If this role sounds exciting and aligns with your experience or career ambitions, we'd love to hear from you.

• Experience developing, deploying or operating machine learning solutions in production environments
• Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
• Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
• Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
• An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale
• Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
• Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches

Additional Information

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Private medical care scheme
• Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role