Senior Machine Learning Engineer (Recommendations)

ASOS; Camden Town; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Employee sample sales

25 days paid annual leave + extra day

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Job summary

ASOS in London is seeking a Senior Machine Learning Engineer for the Recommendations team. You will productionise ML systems that power outfit discovery and shopability for millions of customers, leveraging deep learning and scalable architectures.

You will work in an agile cross-functional team, deploy batch and online models, mentor colleagues, and set ML standards across ASOS's ML community.

Qualifications

• Experience applying machine learning in production settings.
• Experience with deep learning techniques and practical deployments.
• Experience with distributed computing frameworks for large models.
• Familiarity with training models on multiple GPUs and distributed approaches.
• Understanding of software development lifecycles, data pipelines, and observability.

Responsibilities

• Build and productionise ML systems to power outfits recommendations.
• Collaborate with scientists to deploy at-scale solutions for hundreds of millions of users.
• Deploy batch and online ML models at scale.
• Develop and improve code and features, shaping new capabilities.
• Mentor junior engineers and share knowledge across the team.
• Contribute to ML standards and drive quality across ASOS's ML community.

Skills

Deep learning production

Distributed computing

Multi-GPU training

CI/CD / MLOps

Mentoring

Tools

Containerisation

Job description

Senior Machine Learning Engineer (Recommendations)

Full-time

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.

We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team.

In role, you will a senior IC who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities.

What you’ll be doing:

• You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricingand customer targeting space.
• You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
• You will be deploying batch and online machine learning models at high scale.
• You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
• You will be mentoring and coaching junior members of the team, supporting their technical progress.
• You will contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from theteam.

About You

• Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use
• Experience working with deep learning and distributed computing frameworks to support large‑scale models
• Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise
• A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling
• Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS

Benefits

• 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