26 to 50 of 69 Semantic Search Jobs in England

distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn,XGBoost). Experience with data storage for AI, vector databases, semanticsearch,and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standardse.g. ISO42001. Embracing our differences ...

distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn,XGBoost). Experience with data storage for AI, vector databases, semanticsearch,and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standardse.g. ISO42001. Embracing our differences ...

discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within … Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will ...

agent orchestration frameworks, workflow automation platforms, or tool‐augmented LLM applications Experience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approaches Experience building evaluation frameworks for AI applications, including golden datasets, automated scoring, human review workflows, red teaming ...

communication, stakeholder management, and problem-solving skills within agile delivery environmentsBonus Points ForExperience building AI agent frameworks or autonomous orchestration platformsKnowledge of vector databases, semantic search, and advanced RAG architecturesExperience with cloud platforms such as AWS, Azure, or GCP for AI workloadsFamiliarity with financial services, banking, or regulated ...

distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. ...

/ML and GenAI Strong Python and Java skills Experience with LangChain, LlamaIndex, CrewAI or similar frameworks Knowledge of RAG, vector databases and semantic search AWS expertise (Bedrock and SageMaker preferred) Experience with APIs, microservices and cloud-native architecture Nice to Have AWS certifications (ML or Architect) MLOps ...

Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies Preferred Experience Experience designing and implementing Enterprise Knowledge … Bases (EKBs) , AI-powered enterprise search, knowledge management, or intelligent retrieval platforms. Experience delivering AI solutions from prototyping through to production deployment in enterprise environments. ...

speech ElevenLabs AWS Bedrock Amazon SageMaker Google Cloud Platform (GCP) Vertex AI Python FastAPI/APIs LangChain/LangGraph Vector databases Embeddings and semantic search Hugging Face/open-source AI models Prompt engineering Model evaluation and optimisation MLOps/LLMOps Docker/Kubernetes CI/CD Cloud ...

including role definition, tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools (MCP) and APIs ...

Claude, Gemini, or Azure AI Experience building Agentic AI workflows, orchestration frameworks, AI copilots, or autonomous process automation solutions Knowledge of AI-driven APIs, semantic search, RAG architectures, and vector database integrations Azure certifications such as AZ-900, AZ-204, or AI-900 would be advantageous Key Responsibilities ...

multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services ...

infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really … production. Depth in at least one of the following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex ...

role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability ...

requirements into robust, scalable data solutions. Develop conceptual, logical, and physical data models. Design and implement modern AI-ready architectures, including RAG, vector databases, semantic search, and LLM integrations. Build and optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. ...

GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams ...

ambiguous environments and owning projects from concept to deployment. Nice to Have Experience with Retrieval-Augmented Generation (RAG). Knowledge of vector databases and semantic search. Experience with Python alongside TypeScript. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar. Experience with CI/CD pipelines, Infrastructure ...

Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding models, and semantic search. Experience with coding assistants (GitHub Copilot, Cursor) in a developer productivity context. Multi‐site or international delivery experience. What We’re Looking ...

Kharon is seeking a full-time Data Scientist for Retrieval & Agentic Systems based in London. You will own Corestream and evolve semantic search, leveraging BM25, vector search, RAG, and RDF-like pipelines. You will integrate risk outputs into search and drive narrative generation, collaborating with Product ...

governed, scalable, and AI-consumable Develop, maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum … solid understanding of compliance, data governance, and access control requirements Hands‐on familiarity with knowledge management technologies: SharePoint Online/M365, graph databases, semantic search, vector stores, or enterprise content platforms Experience with enterprise search and knowledge discovery platforms, including evaluation, implementation, or scaled deployment of intelligent ...

automation from their data. Key Responsibilities: Design and develop Agentic AI applications and workflows Build and optimise Knowledge Graphs using Neo4j Develop GraphRAG and semantic search solutions Integrate LLMs with enterprise data sources Work closely with engineering and data teams to deliver production-ready AI systems Required Skills ...

fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems, microservices, or cloud‐native architectures Our Commitment to Diversity ...

each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation. Build, evaluate, fine-tune, prompt, and integrate models ...

fast-growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine-tuning, evaluation, and continuous improvement workflows Background in distributed systems, microservices, or cloud-native architectures Our Commitment to Diversity ...

managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. ...