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The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI
The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects.
As an ML Engineer here, your core work is designing, 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 ...
About the Role
Description
The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI
The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects.
As an ML Engineer here, your core work is designing, 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 ...
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