Machine Learning Engineer (CS)

The Machine Learning Engineer role sits within Customer Success;  is embedded within the Technical Operations team – a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects.

As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi‑source datasets from local authorities. You will engineer high‑performance training pipelines, build embedding‑based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands‑on work with model architectures, feature engineering, model optimisation, performance debugging, schema‑aligned data preparation, and ML‑driven interfaces.

This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems – not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments.