Machine Learning Engineer

About ASOS

ASOS is a global online fashion retailer dedicated to empowering customers to express their unique identities. We foster an inclusive culture where employees can be authentic and creatively contribute to a platform engaging millions worldwide. We are committed to supporting candidates with disabilities during the recruitment process.

Role Overview

We seek a Machine Learning Engineer to join our Search & Recommendations team. This team builds cutting-edge machine learning systems that enable millions of customers to discover relevant products daily. Our systems power features like personalised recommendations, product rankings, Similar Items, and People Also Viewed, adapting in real time based on user interactions at scale.

Key Responsibilities

• Design, develop, and maintain scalable machine learning systems that enhance product discovery and personalisation.
• Improve recommendation and ranking models and other customer-facing ML functionalities.
• Deploy machine learning models in both batch and real-time environments, ensuring system reliability and performance under high demand.
• Work closely with Applied Scientists, Software Engineers, and Product teams to translate experimental models into robust, production-ready solutions.
• Monitor and refine models continuously using real customer data and performance analytics.
• Contribute to engineering best practices, developing MLOps tools, and enhancing shared ML platform capabilities.
• Drive improvements in the development, deployment, and operational processes for machine learning across the organization.

Candidate Profile

• Experience with building, deploying, or operating production-level machine learning systems.
• Proficiency with machine learning frameworks such as PyTorch, TensorFlow, XGBoost, or comparable technologies.
• Experience with GPU-accelerated training or interest in scalable, distributed ML computing.
• Solid knowledge of software engineering principles including version control, CI/CD pipelines, testing, observability, and containerization.
• Understanding of MLOps best practices and challenges in scaling machine learning applications.
• Excellent communication and teamwork skills, with experience collaborating across engineering, data science, and product teams.
• A strong desire for continuous learning, adaptability, and innovation with emerging technologies and methods.

Additional Information

• Employee discount on ASOS products.
• Access to employee sample sales.
• 25 days of paid annual leave plus an additional day to celebrate a personal milestone.
• Private medical insurance scheme.
• A fixed annual bonus payment as an additional recognition beyond salary.
• Opportunities for tailored learning and development experiences designed to help you succeed in your role.