Xantura Limited

United Kingdom
Year Founded: 2008

Jobs at Xantura Limited

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16 Hours AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Information Technology • Software
Own and evolve the platform infrastructure for deployed ML and NLP systems: deploy and monitor models via Azure ML and AKS, build orchestration pipelines (Dagster), ensure observability and Responsible AI/GDPR compliance, and support scaling across multi-tenant local authority clients while advising across the organisation.
23 Hours AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Information Technology • Software
Facilitate Scrum ceremonies, remove impediments, coach two Scrum teams, track delivery metrics, coordinate cross-team dependencies, support Lead Delivery Manager with planning and prioritisation, maintain Platform RAID log and delivery documentation, and help evolve ways of working as the company scales.
8 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Information Technology • Software
The role involves client-facing responsibilities in technical configuration, data extraction, engineering, science, and deployment of analytics solutions, requiring effective communication and project management skills.
11 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Information Technology • Software
Own and evolve Xantura's text analytics platform: build NLP pipelines, LLM-based extraction and RAG, manage embedding models and vector DBs, maintain classical NLP components, and design agentic AI while ensuring explainability and Responsible AI for sensitive health and social care data.
22 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Information Technology • Software
The Data Engineer will build and maintain data pipelines, ensuring quality and performance while collaborating with teams to support platform evolution and product delivery.