Machine Learning Engineer

ASOS; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonus

Generous employee discount

Professional development opportunities

Flexible benefits allowance

Private medical care options

Job summary

A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent communication skills. This role offers competitive salary, performance-related bonuses, and a dynamic workplace that promotes creativity and innovation. Join us to help transform data into power for personalized customer experiences.

Qualifications

• Experience developing and deploying machine learning solutions focusing on deep learning.
• Familiarity with end-to-end deployment workflows.
• Interest in distributed computing and scalable systems.

Responsibilities

• Collaborate with teams to design and optimize machine learning models.
• Deploy and maintain machine learning systems at scale.
• Translate experimental models into production-ready solutions.

Skills

Hands-on experience in machine learning solutions

Experience with modern ML frameworks

Proficiency in training models using GPUs

Familiar with software development practices

Strong communication skills

Tools

ML frameworks

CI/CD

Containerization

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.

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 are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross‑functional team. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data‑rich challenges.

In this role, you'll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.

Key Responsibilities

• Collaborate with cross‑functional teams to design, implement, and optimise machine learning models for real‑world business use cases.
• Deploy and maintain both batch and real‑time machine learning systems at scale.
• Work alongside data scientists to translate experimental models into robust production‑ready solutions.
• Continuously improve model accuracy, system efficiency, and platform capabilities.
• Contribute to defining team best practices and engineering standards in machine learning development.
• Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.

Qualifications

About You

• Hands‑on professional experience in developing and deploying machine learning solutions, with a focus on deep learning.
• Experience working with modern ML frameworks and familiarity with end‑to‑end deployment workflows.
• Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.
• Familiar with software development practices including version control, CI/CD, containerisation, and monitoring,especially within ML Ops workflows.
• A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
• Motivated self‑starter with a desire to learn, share knowledge, and grow in a fast‑paced environment.

Additional Information

• Competitive salary and performance‑based bonus scheme
• Generous employee discount and exclusive product access
• Structured personal and professional development opportunities
• Paid annual leave plus an additional day for special personal milestones
• Flexible benefits allowance and private medical care options
• Access to a variety of online learning resources and employee‑led communities
• A supportive, inclusive, and dynamic workplace where innovation thrives

Job Location