Teams at ASOS

Own profitable e-commerce trading performance across assigned markets. Analyze revenue, traffic, conversion, margin, discounts, customer behavior, and market trends to recommend commercial actions. Lead forecasting, scenario planning, performance reviews, campaign evaluation, and test-and-learn strategies. Partner with pricing, marketing, finance, product, technology, and digital trading teams to deliver measurable outcomes, improve decision-making through AI and automation, and support P&L management.

Designs, builds, and operates scalable machine learning platforms, infrastructure, deployment frameworks, and backend services for search, recommendations, and personalization. Responsibilities include CI/CD, batch and real-time inference, observability, infrastructure automation, distributed compute optimization, incident management, architecture, and technical mentoring. The role partners with data scientists, software engineers, data engineers, and product managers to deliver reliable cloud-native ML systems at scale.

Design, build, deploy, and operate large-scale batch and real-time machine learning systems for search, ranking, recommendations, and personalization. Collaborate with applied scientists, software engineers, and product managers to deliver measurable customer impact. Improve engineering practices, contribute to technical direction, and mentor other engineers across production machine learning, deep learning, distributed training, GPU infrastructure, and MLOps.