ML Engineer – Real-Time Personalisation at Scale

ASOS.com; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 days paid annual leave

Private medical care scheme

Learning and development opportunities

Job summary

ASOS.com in London is seeking a Machine Learning Engineer to join the Search & Recommendations team, building ML systems that power personalization and product discovery at scale.

You’ll deploy models into production, monitor performance and collaborate with engineers, scientists and product partners to turn ideas into reliable, scalable solutions that directly improve the customer journey. This is a fast-paced role with real 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 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

Skills

Production ML experience

GPU-based training / distributed ML

Software engineering fundamentals

Cross-functional collaboration

Tools

PyTorch

TensorFlow

XGBoost

Job description

ASOS.com in London is seeking a Machine Learning Engineer to join the Search & Recommendations team, building ML systems that power personalization and product discovery at scale.

You’ll deploy models into production, monitor performance and collaborate with engineers, scientists and product partners to turn ideas into reliable, scalable solutions that directly improve the customer journey. This is a fast-paced role with real impact.