Senior AI/ML Engineer for Production Retail AI

Morgansholding; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

CV in-store analytics

MLOps & cloud deployment

Job summary

Morgan’s Holdings is a global technology and retail group transforming the grocery experience with AI, computer vision, and zero-waste logistics. You’ll build models that forecast demand, personalise recommendations, and power in-store analytics.

Join a fast-moving team building production-grade ML solutions, from data prep to monitoring. Candidates should demonstrate 5+ years in ML/AI, strong Python, PyTorch, and hands-on work with LLMs and embeddings while delivering practical, ship-ready

Qualifications

• 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, shipable outcomes.
• Creative, experimental, and excited to try new approaches.

Responsibilities

• 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 ensure accessible and clean data.
• Stay on top of a fast-moving field and bring best practices into the work.

Skills

ML/AI engineering

Python

LLMs

Retrieval augmented generation

Experimentation

Tools

PyTorch

scikit-learn

MLOps tooling

Job description

Morgan’s Holdings is a global technology and retail group transforming the grocery experience with AI, computer vision, and zero-waste logistics. You’ll build models that forecast demand, personalise recommendations, and power in-store analytics.

Join a fast-moving team building production-grade ML solutions, from data prep to monitoring. Candidates should demonstrate 5+ years in ML/AI, strong Python, PyTorch, and hands-on work with LLMs and embeddings while delivering practical, ship-ready