3 of 3 Semantic Enrichment Jobs in the UK

Semantic Graph & Ontology Architect

Hiring Organisation
Adecco
Location
London, United Kingdom
Employment Type
Contract
innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems … while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph ...

Enterprise Data Architect: AI-Ready Lakehouse & Governance

Hiring Organisation
Jobleads-UK
Location
Fleet, England, United Kingdom
data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long … data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Fabric, Databricks, or Snowflake. Ensure semantic models, KPIs, and analytical structures (e.g., Power BI, Fabric semantic models) are consistent, scalable, and aligned with business requirements. Guide Data Engineers ...

Director, Search & AI Evaluation

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
drive the long‐term strategy for search relevance, retrieval evaluation, ranking optimisation, and AI system quality. Lead initiatives to improve search relevance, ranking quality, semantic retrieval, vector search, and retrieval‐augmented generation (RAG) systems. Mitigate AI grounding and hallucination issues, driving user discovery and engagement outcomes. Establish scalable evaluation … methodologies for search, retrieval, recommendation, and LLM‐powered systems. Guide experimentation and optimisation across lexical, semantic, hybrid, and AI‐assisted retrieval architectures. Partner with Product and Engineering leadership to align search and AI investments with customer and business priorities. Influence technical direction for retrieval systems, evaluation infrastructure ...