Senior Machine Learning Engineer (Personalisation)

As Senior Machine Learning Engineer, you will design, build and operate production ML systems at scale within ASOS’s Search & Recommenders team. You will collaborate with scientists, engineers and product managers to deliver high-impact, data-driven experiences that help customers discover products. You’ll tackle real-time and batch ML problems in ranking, search and personalization, shaping how millions shop for fashion. This role offers ownership of scalable systems and the chance to advance ML standards across the company.

• ASOS employee discount
• employee sample sales
• 25 days annual leave + extra celebration day
• discretionary bonus scheme
• private medical care
• flexible benefits allowance

• Design, build and improve ML systems powering search, ranking and recommendation experiences
• Collaborate with Applied Scientists and engineers to deploy ML solutions delivering measurable value
• Build, deploy and maintain batch and real-time ML models in production
• Contribute to recommendation, ranking and personalization capabilities handling millions of interactions daily
• Continuously improve systems, codebase and engineering practices; suggest new features
• Mentor and support other engineers through coaching and knowledge sharing
• Shape the team's technical direction and evolve ML standards and ways of working across the wider ML community

• Experience applying ML and deep learning techniques in production
• Experience with deep learning frameworks and distributed computing for large-scale models
• Experience with distributed training infrastructure, GPU-based training and parallelisation
• Strong understanding of software engineering principles, lifecycles and MLOps
• Experience developing reliable, scalable ML systems in production
• Ability to provide technical leadership, mentoring and support to engineers
• Strong collaboration and communication skills across engineering, science and product teams

• collaboration
• mentoring
• communication
• deep learning
• distributed computing
• GPU-based training