4 months ago
London, United KingdomSenior
Responsibilities
- Productionize batch and online machine learning models at high scale.
- Build and improve causal algorithms for pricing and customer targeting.
- Develop and deploy large-scale machine learning solutions for customer and product discovery.
- Improve code, technology, and engineering practices while contributing to new features.
- Mentor and coach junior team members and provide technical guidance.
- Contribute to technical direction, establish ML standards, and drive quality across ASOS’s ML community.
Requirements
- Experience applying machine learning in production settings.
- Exposure to deep learning techniques and their practical application.
- Experience with deep learning and distributed computing frameworks for large-scale models.
- Experience training models across multiple GPUs using distributed or parallel approaches, or strong interest in developing this expertise.
- Understanding of software development lifecycles and engineering practices, including data pipelines, containerization, observability, and MLOps tooling.
- Comfort supporting others through technical guidance, mentoring, knowledge sharing, and wider engineering initiatives.
Benefits
- Employee discount and 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 cash or used toward other benefits.
- Personalized learning and in-the-moment development experiences.
- Inclusive workplace support and adjustments throughout the hiring 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.