1 to 25 of 38 Ontologies Jobs

trusted insights and operational outcomes. What You'll Do Build and optimise data pipelines, ETL processes and workflows in Palantir Foundry. Design data models, Ontologies and governance frameworks. Develop user-facing applications using Foundry's low-code and pro-code capabilities. Architect end-to-end solutions that support analytics ...

Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS/Healthcare data experience. Government/(url removed)/Public Sector domain experience strongly preferred. Must ...

Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score ...

Generative AI.* Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.* Experience in building knowledge bases and ontologies is highly desirable.* Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score ...

health sector. Required Skills Strong hands-on Palantir Foundry experience Experience with healthcare datasets and interoperability standards (FHIR/HL7) Enterprise data modelling and ontology design expertise Experience in NHS, healthcare, or regulated environments Strong stakeholder communication skills Desirable AWS cloud experience DevOps/CI/CD/IaC knowledge ...

qualification. Right to work in the UK. Nice to have Experience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection). Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment. ...

business audiences Experience working independently within secure, fast-paced delivery environments DESIRABLE EXPERIENCE AWS or cloud data migration experience Knowledge of data catalogues, ontologies, or enterprise architecture frameworks (e.g. TOGAF) Experience with data lakes, data warehouses, or modern data platforms Familiarity with tools such as Visio, Sparx Enterprise Architect ...

senior data engineering, knowledge engineering or a closely related field. Experience designing scalable knowledge systems for AI-powered applications. Strong understanding of domain modelling, ontology design and information architecture. Hands-on experience with hybrid retrieval techniques, semantic search, embeddings and vector databases. Experience building reliable data pipelines and integrating multiple ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

development and maintenance of Canonical Data Models (CDM) and domain-specific data models * Knowledge of GenAI, LLM, Agentic AI * Definition and governance of scientific ontologies and controlled vocabularies Desirable skills/knowledge/experience: * Design and implementation of data governance frameworks covering classification, data quality, lineage, retention and GxP/ ...

Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems ...

data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine … working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability ...

world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular … pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products , including: KPIs and analytics frameworks Data marts Clinical pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data ...

approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on (phone ...

across conceptual and logical modelling activities, while maintaining an appreciation of physical implementation considerations. Not solely focused on database design, nor purely conceptual/ontology modelling. We're looking for someone who can bridge business understanding with practical data modelling delivery. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with metadata, ontologies, or knowledge graphs Company: Our client is a global biopharmaceutical company focused on creating value for people living with severe diseases in immunology and neurology ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

First Alert inside customer environments, turning complex questions into real-time decision-support. You will work with Palantir Foundry to develop data pipelines and ontologies, integrating real-time intelligence into customer workflows and tools, with travel across Europe as needed. #J-18808-Ljbffr ...

career growth Shape and evolve core solutions such as CVlizer (CV parsing & skill extraction), Jobolizer (job ad parsing), and the Data-Driven Ontology (knowledge graph for skills and occupations) Define and execute the R&D strategy, including prioritization of initiatives and evaluation of ML models vs. external AI/ ...

technical and non-technical audiences. Comfortable working with ambiguity and shaping emerging requirements. Desirable Experience with federated data-sharing platforms or data ecosystems. Ontologies, semantic data models or knowledge graphs. Public sector, regulated industry, critical infrastructure or federated ecosystem solutions. Role and Responsibilities: Design security Non-Functional Requirements. Lead ...

high‐throughput, low‐latency inferencing and classical ML deployment within unified, production‐ready platforms Own the architecture of the enterprise context layer—knowledge graphs, ontologies, vector search, and semantic retrieval—grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

Role Purpose: Design enterprise Context Knowledge Base capabilities enabling retrieval, reasoning and contextual intelligence. Key Responsibilities: Design RAG architecture; define taxonomy and ontology models; implement retrieval and ranking strategies; establish content governance and access controls; enable runtime context assembly. Key Skills: Context Engineering, RAG, Knowledge Graphs, Vector Databases, Semantic Search ...

Knowledge Graph Lead to shape scalable AI and KG solutions, translating real-world problems into graph-powered data architectures. You’ll guide teams, design ontologies, and drive end-to-end delivery across business and tech units. Ideal candidates bring deep KG expertise, ML model experience, and a track record ...