1 to 25 of 30 Permanent Semantic Search Jobs in the UK

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise … initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing: Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise … initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing: Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise … initiative to improve both themselves and the team through continuous learning and questioning the status quo. What Will You Be Doing Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG More ❯

scientists, engineers, and domain experts to understand business needs and deliver AI-driven solutions. Stay up to date with the latest NLP technologies, including semantic search and generative AI, and apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured More ❯

D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. We are seeking a skilled and experienced Senior Product Manager for our Data Platform More ❯

D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. We are seeking a skilled and experienced Senior Product Manager for our Data Platform More ❯

experience with the following technologies is a plus: Tailwind CSS AI Coding Assistance Embeddings, Azure Open AI/Open AI, RAG, Vector Databases, and Semantic Search Working containers via Docker, K8s, and/or Azure Container Instances Frontend unit testing experience is a plus ( i.e. Jest, Vitest ) Education More ❯

D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Senior Product Manager for More ❯

and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data More ❯

and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data More ❯

and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data More ❯

in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and … functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps More ❯

in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and … functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps More ❯

in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and … functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps More ❯

and other groups that may include architecting new data solutions. Develop team operational excellence programs, data quality initiatives and process simplifications. Evangelize ontology and semantic technologies within and across teams at Amazon. Develop and refine data governance and processes used by global Ontologists. Mentor and influence peers. Inclusive Team … to engineering teams. Ability to communicate to senior leadership (Director and VP levels). Experience with generative AI (e.g. creating prompts). Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Knowledge of open-source and commercial ontology … skills. PREFERRED QUALIFICATIONS Master's degree in Library Science, Information Systems, Linguistics or other relevant fields. Experience building ontologies in the e-commerce and semantic search spaces. Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance). Proficiency in SQL, SPARQL. Familiarity with software More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within … data processing - HER, FHIR, Wearable sensor data. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools. Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems … and architecture. Experience building ontologies in the e-commerce and semantic search spaces. Knowledge Graph and RAG -AI Architecture. Desirable: Experience with OCR, Image captioning, object detection for assistive technologies. Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver). Experience working in Horizon Europe, Digital Europe or More ❯

to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of … Specialised embedding methods for multimodal content in the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models More ❯

human-computer interaction . Prior work in chatbot development , virtual assistants , or AI-driven user interfaces . Knowledge of RAG pipelines , vector databases , and semantic search . More ❯

analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … search and the intelligence of AI to enable everyone to accelerate the results that matter. Role & Responsibilities: Acting as a strategic technical leader in the field - you are a self starter. You lead the lifecycle of agreements from business case, planning and governance, technical architecture, solution build, business modeling …/or cloud/infrastructure technologies. 5+ years of experience working with multinational customers in support of technology sales. An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. Professional experience architecting/operating solutions built on AWS More ❯

London, United Kingdom The Netherlands Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune … brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. Role & Responsibilities: The Partner Solutions Architect is a high-priority role that will have a sizable, immediate impact on Elastic and our entire partner ecosystem. In this role, you …/or cloud/infrastructure technologies. 5+ years of experience working with multinational customers in support of technology sales. An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. Professional experience architecting/operating solutions built on AWS More ❯

humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. More ❯

D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Senior Product Manager, AIML More ❯

platform but the future of AI within the business, with a clear path to leadership and team building. Stack Python, Kafka, Recommender Systems, LLMs, Semantic Search, 3rd Party Data Integration What do you need? Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG) Strong experience with complex More ❯

humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. More ❯