3 of 3 Permanent Knowledge Engineering Jobs in England

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI … semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships within graph data. Develop algorithms and models to extract insights from graph structures … AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design. Preferred Qualifications Experience with data pipelines and integrating graph databases into larger data ecosystems. Knowledge of rule-based inference systems and network analytics tools. Strong problem-solving skills and the ability to work independently on complex technical challenges. Prior exposure to enterprise AI initiatives More ❯

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI … semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships within graph data. Develop algorithms and models to extract insights from graph structures … AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design. Preferred Qualifications Experience with data pipelines and integrating graph databases into larger data ecosystems. Knowledge of rule-based inference systems and network analytics tools. Strong problem-solving skills and the ability to work independently on complex technical challenges. Prior exposure to enterprise AI initiatives More ❯

are on a mission to empower and revolutionise how care is delivered to others through the effective use of intelligent support tools by leveraging LLMs, Prompt Design and Data & Knowledge Engineering . I’m seeking an AI Prompt Engineer to the join the R&D team and design, test and refine prompts , clean and map unstructured text and … lookup assistants Build & run prompt evaluation frameworks and create feedback loops Test/Evaluate LLM Output (for correctness, adverse results, etc., expected to develop efficient/reusable processes) Prompt Engineering (iterating on the structure, semantics and content of the data sent to the LLM for processing) Data Pre/Post Processing (storage, ingestion and manipulation of data sent and … FAISS, Pinecone.....) The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a professional services/regulated industry or knowledge of language/translation, transforming written content to voice or redacted content, multi-lingual interfaces, accessibility-focused UI/UX and/or voice-based interfaces would be ideal More ❯