16 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and improve machine learning systems powering search, ranking, recommendation, and personalisation experiences.
- Collaborate with Applied Scientists and engineers to develop and deploy production machine learning solutions.
- Build, deploy, and maintain batch and real-time machine learning models at scale.
- Contribute to recommendation, ranking, and personalisation capabilities serving millions of customer interactions daily.
- Improve systems, codebases, engineering practices, and machine learning capabilities.
- Mentor and support engineers through coaching, knowledge sharing, and technical collaboration.
- Contribute to technical direction, machine learning 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 machine learning 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 and 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.
- Experience in recommendation systems, search, ranking, personalisation, deep learning, or broader machine learning is relevant.
Benefits
- Employee discount and employee sample sales.
- 25 days of paid annual leave plus an extra celebration day.
- Discretionary bonus scheme.
- Private medical care scheme.
- Flexible benefits allowance that can be taken as extra cash or used for other benefits.
- Personalised learning and in-the-moment development experiences.
- Inclusive workplace support and adjustments throughout the recruitment process.
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.