24 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and improve machine learning systems for search, ranking, recommendations, and personalisation.
- Build, deploy, and maintain batch and real-time machine learning models in production.
- Develop reliable and scalable ML systems that process millions of customer interactions.
- Collaborate with Applied Scientists, Software Engineers, and Product Managers to deliver customer and commercial value.
- Improve the codebase, engineering practices, and ML capabilities across the team.
- Mentor and support engineers through coaching, knowledge sharing, and technical collaboration.
- Contribute to technical direction, ML standards, best practices, and ways of working across the wider ML community.
Requirements
- Experience applying machine learning and deep learning techniques in production environments.
- Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale models.
- Experience with distributed training infrastructure, GPU-based training environments, and parallelisation approaches.
- Strong understanding of software engineering principles, development lifecycles, and MLOps practices.
- Experience developing reliable, scalable machine learning systems in production.
- Ability to provide technical leadership, mentoring, and support to other engineers.
- Strong collaboration and communication skills across engineering, science, and product teams.
- Background in recommendation systems, search, ranking, personalisation, deep learning, or broader machine learning is relevant.
Benefits
- Employee discount and access to employee sample sales.
- 25 days of paid annual leave plus an additional celebration day.
- Discretionary bonus scheme and private medical care scheme.
- Flexible benefits allowance that can be taken as extra cash or used toward other benefits.
- Personalised learning and in-the-moment development experiences.
- The posting does not state a work arrangement or contract duration.
Categories
About ASOS
ASOS is a global online fashion and beauty retailer for 20‑somethings, selling own‑brand and third‑party labels via its website and mobile apps. The company earns revenue from direct‑to‑consumer e‑commerce, shipping to customers worldwide and offering marketplace services for brands. Founded in 2000 and headquartered in London, ASOS is a public company listed on the London Stock Exchange and runs in‑house content and fulfillment operations at scale.