Senior/Principal Hardware Engineer

compliance, data integrity and reasoning-readinessData Quality, Observability & LineageImplement robust data quality frameworks (validation, profiling, anomaly detection)Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection)Ensure alignment with governance, security and industry standardsAI Enablement & Data ServingBuild high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agentsCreate data foundations supporting decision engines, reinforcement learning and value measurementPartner with AI engineers to operationalise pipelines for LLM workflows and agentic systemsStandards, Documentation & ReusabilityProduce clear documentation for data models, schemas, ontologies and lineageCodify semantic ETL patterns and reusable modelling templatesContribute to internal accelerators, engineering standards and playbooksExperience & Technical RequirementsWe are looking for strong data engineering fundamentals combined, deep focus on ontologies, knowledge graphs and AI systemsEarly-stage growth environment backed by significant investment and strong market tractionHigh autonomy, low bureaucracy and meaningful system-building responsibilityOpportunity to shape internal standards, accelerators and AI-native productsClear commitment to responsible AI and widening access to advanced technologiesFlexible working model with a modern Central London presenceComprehensive health, wellbeing and pension benefitsThis is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter.If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation., This role is a perm role Clearance: DV/SC Location: London, England - United Kingdom. UK (Hybrid) with travel to client sites What you'll bring (Essential) - Proven KIM leadership delivering complex programmes in large or regulated organisations: - Strategy & operating..., A health-tech startup in London seeks a Knowledge Engineer to design and operationalize clinical knowledge for AI systems. You will ensure structured data integrity while engaging with customers and building ontologies and knowledge graphs. Ideal candidates possess a..., A leading biomedical AI company based in Greater London is seeking a Senior Machine Learning Engineer to join their Knowledge Enrichment team. The role involves designing ML-based approaches to analyze biomedical data and enhance knowledge graphs, collaborating closely with..., Job Title: Senior/Principal Hardware Engineer Location: Rochester - Onsite Salary: £55,000 to £65,000 per annum Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and..., Senior Principal Research Engineer Composite Materials / Advanced Materials Contract Length: 6 months Rate: £60 per hour Umbrella IR35 Status: Inside IR35 Location: Hybrid (2 days per week from home) Clearance required: DV - 10 years residency in the UK with no more than 3..., Job Title: Principal Engineer - Communications Location: Barrow, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive Who we are: Join BAE Systems and you'll...

with demonstrable semantic and ontology experience:5-8 years' experience in data engineering, data platform development or data-intensive systemsStrong SQL and Python for scalable data transformations and servicesExperience with at least one major cloud platform (AWS, Azure or GCP)Hands-on experience with semantic or ontology-driven data models, including:Graph databases (e.G. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr)RDF/OWL modelling, SHACL validation or ontology toolingSemantic ETL and ontology mapping pipelinesKnowledge graph construction, enrichment and query patternsExperience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystemsFamiliarity with modern data tooling and platform engineering practicesComfortable working in iterative consulting delivery environments with evolving requirementsBehavioural AttributesHigh agency - independently drives complex workstreams end-to-endStructured thinker - brings clarity and rigour to ambiguous, messy data domainsCollaborative - works effectively with ontology architects, AI engineers and consultantsQuality-driven - prioritises correctness, observability, maintainability and semantic integrityClear communicator - able to explain semantic concepts and data reasoning to non-technical stakeholdersLow ego, high ownership - focused on outcomes and value creationWhat Success Looks LikeYou deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layersOntology architects rely on your pipelines for entity consistency and semantic accuracyAI engineers build faster because your data structures and retrieval layers are reliable and predictableYour semantic ETL patterns and modelling templates are reused across engagementsClients trust your clarity, rigour and dependability in data work underpinning high-value AI systemsYour work becomes foundational to the firm's semantic and agentic engineering capabilityWhy JoinSenior-heavy, engineering-led culture with, A leading tech company is hiring a Data Engineer to work remotely from the UK. This full-time position requires expertise in data engineering, particularly in AWS and Python. The ideal candidate will have experience building data pipelines and knowledge of Docker. We offer...

A leading financial services firm in London is seeking a Vice President - Ontology to shape knowledge representation and data publishing standards. The role involves developing and managing ontologies and enhancing data interoperability. Candidates should have significant...