21 of 21 Ontologies Jobs

Extensive experience in data, analytics, engineering, or consulting, with a track record of delivering scalable, complex data solutions. Hands-on knowledge of Palantir Foundry (Ontology, pipelines, apps, AIP); Palantir certifications desirable. Proficiency in at least one coding language (e.g., Python/PySpark, R, Java, SQL, Typescript) and experience with object ...

modernize processes through workflow automation and orchestration on Palantir Foundry.Generate comprehensive reports using Contour and Quiver to provide insights and support and manage ontology objects to ensure consistent data representation and (link removed)gest data from Kafka producers and manage Kafka partitions to support real-time data processing.Implement robust mechanisms ...

data architecture and standards Required Skills & Experience Proven experience as a Semantic Data Analyst, Data Architect, or Semantic Architect Strong understanding of semantic modelling, ontology development, or knowledge graphs Experience mapping entities, policies, and relationships into structured frameworks Ability to communicate complex data concepts clearly to senior stakeholders Experience working ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos ...

Core Responsibilities Foundry Solution Design & Build End-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement … integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers). Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java ...

automated integration and validation, supported by clear documentation. Skilled in adopting new tools, techniques, and methodologies to improve efficiency and sustainability. Knowledgeable in ontologies and domain-specific languages for structured data representation. Competent in C and C++ programming. Working familiarity with DDS middleware and real-time operating systems. Understanding ...

documentation Experience of new tools, techniques and approaches that might enable us to evolve our processes to improve our efficiency and sustainability Experience in ontologies and Domain specific languages Experience in C or C++ programming language Knowledge of DDS middleware and Real Time Operating Systems Knowledge of standards such ...

trusted advisor who helps customers design and evolve high value Semaphore solutions that address complex information, metadata, and knowledge model (i.e. thesauri, taxonomy and ontology) challenges. The role emphasizes deep discovery, collaborative problem solving, and long-term partnership rather than transactional engagements, ensuring customers realize sustained value from the Semaphore … statements and opportunity areas for Semaphore. Facilitate workshops and advisory sessions that guide customers through options, tradeoffs, and roadmaps for semantic modeling, taxonomy/ontology design, metadata standards and governance, and content classification. Act as a trusted advisor to business and technical stakeholders, using active listening, open-ended questioning ...

pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g., Neo4j, Neptune) to model complex biological and operational ...

Practice Lead – Defence Data Transformation Location: London/Hybrid Salary: £90,000 – £110,000 + Bonus & Benefits Palantir Foundry | Python | PySpark | Ontology | Data Engineering*Eligibility for clearance is required Join a £20m Programme Driving the Future of Defence Data Our client has just secured a £20 million programme to revolutionize … where complex data becomes actionable intelligence.As Practice Lead , you’ll combine technical depth with strategic influence, shaping how advanced analytics, AI/ML, and ontology-driven solutions deliver mission-critical outcomes. What You’ll Do Architect & Govern Ontologies in Palantir Foundry to unify complex datasets. Build & Lead a Practice —mentor ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical and military/non-technical stakeholders Experience integrating data from multiple … submit your application to our client in conjunction with this vacancy only. KEY SKILLS: PALANTIR/FOUNDARY/DATA ENGINEER/PIPELINE BUILDER/ONTOLOGY/PYTHON/TYPESCRIPT/FULL STACK/DV CLEARED/LONDON/CONTRACT ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You'll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you'll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You’ll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you’ll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You'll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you'll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...

architectures, including planning, delegation, tool use, safety constraints, and monitoring. Develop retrieval and vector-based systems, embeddings, semantic workflows, and structured reasoning pipelines. Apply ontology and knowledge modeling literacy to support precise reasoning and data alignment. Integrate AI systems with APIs, tools, and enterprise connectors. Develop scalable prompt engineering solutions … agent system design and orchestration (planning, delegation, tool integration). Evaluation frameworks, safety checks, and monitoring pipelines. AI Ops/observability experience. Familiarity with ontologies or semantic reasoning (literacy required). Critical Distinction: Candidates must be able to explain architectural trade-offs, discuss failure modes, demonstrate evaluation and reliability practices ...

agents, webhooks) to support different partnership and customer models. Build Knowledge Graph Systems Transform flat parts catalogs into semantic networks using AWS Neptune. Design ontologies that capture ACES (fitment) and PIES (attributes) standards for heavy equipment. Build ingestion pipelines that parse customer data and extract compatibility relationships. Implement graph traversal … graph data to prevent hallucination on critical fitment recommendations. What We're Looking For Graph & Semantic Systems Experience with graph databases (Neptune, Neo4j) and ontology design Ability to model complex domain relationships as graph structures, not tables Understanding of semantic query languages (Gremlin, SPARQL) and entity resolution Backend Engineering & Data ...