14 of 14 Knowledge Representation Jobs in England

healthcare to join our Informatics group within the Data Science & AI department. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, build our capability and provide impact to our clients through project delivery. The work conducted within the Data … working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will ...

Data Strategy, Metadata Management, Master Data Management, Data Architecture, Data Quality and Data Products.As organisations increasingly seek to unlock business value through semantic interoperability, knowledge-driven architectures and AI-enabled data platforms, we help our clients establish enterprise semantic foundations that enable trusted, reusable and interoperable data assets.This role … focused on delivering the Semantic Layer Programmes, supporting the development of supporting the design and adoption of enterprise ontologies, semantic standards, controlled vocabularies and knowledge graph capabilities across complex client environments.PLEASE NOTE:Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check ...

Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership … enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/ ...

Career Opportunities: Data and Knowledge Graph Engineer (11420) Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance … give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will own the end-to-end technical ...

LEAD DATA SCIENTIST Security Knowledge Graphs & Cyber AI Lead Experience 10+ years overall; 5+ years in AI/ML or graph analytics Location Flexible/Hybrid Employment Type Full-time Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets … modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM ...

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends … connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge ...

Knowledge Graph Engineer Location: Manchester, UK Contract Type: Contract Position About the Project Join a specialist software development team delivering a new, business-critical technology platform for an established international organisation. This greenfield development project involves modern cloud architecture, data-intensive applications, and AI-enabled capabilities. You will work … development through to production. Security, scalability, maintainability, data protection, and production readiness are key priorities throughout the project. Role Purpose As the AI and Knowledge Graph Engineer, you will design and build the platform's knowledge representation and the AI capabilities that sit on top of it. ...

LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end. Data Infrastructure Collaborate with Data Scientist to build and own data ...

about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. Comply is the world’s leading … semantic language—to power AI-driven insights, regulatory analytics, and next-generation data products. In this hands-on role at the intersection of knowledge representation, AI infrastructure, and data platform engineering, you’ll own the delivery of semantic layer components, work hand-in-hand with data engineers, architects ...

about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. Comply is the world’s leading … semantic language—to power AI-driven insights, regulatory analytics, and next-generation data products. In this hands-on role at the intersection of knowledge representation, AI infrastructure, and data platform engineering, you’ll own the delivery of semantic layer components, work hand-in-hand with data engineers, architects ...

applications, including customer service, supply chain optimization, recommendation systems, and internal operations. Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. Conduct research and experimentation ...

achieve this, we operate at pace, we're big believers in autonomous teams and iterative development. We're crazy about continuous improvement and knowledge sharing, and we want people who share our enthusiasm. We strive to always build the right thing and build the thing right, so we place … comes from a deep curiosity about how our products work and how our customers use them. We use this foundation to build comprehensive product knowledge and industry expertise, but we're not dogmatic about it. We operate in build squads that operate independently but are aligned to the same ...

every engagement. Ship it properly. Observability and tracing, CI/CD, IaC, monitoring the client can actually operate, security and compliance review. Transfer knowledge deliberately. We don't run a long-term support business. Every engagement is designed so the client owns and can extend the system after … similar). Regulated‐environment delivery: HIPAA, GDPR, SOC 2, FCA/PRA, PII handling, data residency, guardrails and red‐teaming. Graph or taxonomy‐based knowledge representation alongside vector retrieval. Kafka/streaming, Databricks, or comparable large‐scale data platform experience. Nice to have Voice and multimodal agents; evaluation ...

operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability. To work at Adarga … alongside our Chief Architect and a growing engineering team, contributing across the full surface area of the platform: data ingestion, transformation pipelines, semantic data representation, agent frameworks, and the deployment stack that takes our software from cloud to edge to airgap. We are a cross-functional team ...