Senior AI / ML Engineer

Morgan's Holdings
London, UK
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Vision Github Python (Programming Language) Pytorch Retrieval-Augmented Generation Large Language Models Scikit Learn Machine Learning Operations

Job description

Morgan’s Holdings is a global technology and retail group dedicated to overturning a hundred years of retail stagnation. By blending frictionless AI, ā€œproduct-lessā€ showrooming, and zero-waste logistics, we’ve created a model that respects your time and the planet in equal measure. 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

Requirements

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. To apply Send your CV and anything that shows your work (portfolio, GitHub, projects) to #####. #J-18808-Ljbffr

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