Senior AI / ML Engineer

Put AI to work on real grocery problems - forecasting demand, reducing waste, personalising the shopping experience, and making our stores smarter. What you’ll work on Demand forecasting that drives stock and reduces waste Personalised product recommendations in the shopping app Computer vision and analytics on in-store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features - assistants, document and image processing. Take models all the way to production: serving, monitoring, evaluation, and iteration. Work with the data team to make sure the right data is available and clean. Stay on top of a fast-moving field and bring the best of it into the work. What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands-on experience with LLMs, embeddings, and retrieval-augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. #J-18808-Ljbffr