Do you want to build agentic AI systems used by over 30 global retail brands?
Looking to scale ML/LLM products in a fast-growing, post-Series A startup?
Keen to work hands-on with MLOps, LLMs, and backend APIs in a high-impact role?
The role is largely remote, but you must be open to visiting HQ in Bath, UK, 1-2 days a month
Were working with a company that’s redefining retail analytics through AI. Their suite of intelligent tools—used by over 30 global brands—enhances merchandising, shopper journey planning, and range optimisation. Profitable from day one and now scaling fast, they’re growing their engineering team to meet rising client demand. This Senior AI Engineer will work across the business to ideate LLM use cases and own data pipelining, ML deployment and finetuning.
Responsibilities:
* Build scalable backend systems powering ML/LLM-driven tools
* Design and maintain CI/CD-enabled MLOps pipelines
* Develop robust APIs to serve production AI models
* Collaborate with data scientists and product teams
* Optimise big data and cloud infrastructure (Azure/GCP)
Requirements:
* 3+ years in data engineering or MLOps
* Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace)
* Proficient with Airflow, DBT, Docker, Kubernetes
* Cloud deployment experience (Azure preferred)
* Backend/API development experience with client-facing exposure
Interested? Please apply below.