26 to 50 of 53 Semantic Search Jobs in London

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 ...

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 ...

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 ...

Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies·Understanding of MLOps, LLMOps ...

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 ...

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. ...

security and identity management. Excellent stakeholder engagement and communication skills. Desirable ExperienceFinancial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR, EU AI Act and operational ...

management experience, with at least 2+ years on data, platform, or AI/ML products Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools Deep expertise in artificial intelligence, with a track record … lieu of a formal degree Responsibilities Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications. Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization Lead ...

equivalent practical experience. A deep, hands‐on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation. Experience with knowledge representation, semantic search, or agentic systems. Proven proficiency in Python, including writing production-quality, testable, and maintainable code. Experience scaling or shipping products at high-growth startups. ...

collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent ...

London is seeking an AI Engineer to fine-tune open-source models for domain tasks, improve deployment pipelines, and develop context management and semantic search solutions. The role requires hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning, plus deploying models with vLLM, Ollama ...

source models (Llama, Mistral, Qwen) for specific domain functions Optimize model deployment pipelines for low latency and high throughput Build advanced context management and semantic search solutions Implement prompt evaluation frameworks and guardrail architectures Requirements 3+ years of experience focusing on Natural Language Processing and Generative AI Hands ...

Anthropic and Gemini • Shape agentic AI architectures, including multi-agent systems, tool calling, orchestration and human-in-the-loop approaches • Design RAG, vector database, semantic search and enterprise knowledge solutions • Support technical proposals, solution estimates and customer presentations • Contribute to architecture governance, security, responsible AI and technical standards ...

Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals, guardrails, etc)You should apply if: Confident and credible in front of clients and prospects, without needing a script, and comfortable ...

curve on every front. What You'll Own Answer Engine Optimization (AEO) & GEO Define and lead AvePoint's strategy for AI-driven search visibility across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, and emerging LLM platforms. Build AEO accountability frameworks: benchmark tracking, citation monitoring, share-of-voice … structural approaches that increase AvePoint's citation frequency in AI answer surfaces. Stay 6-12 months ahead of platform changes - from structured data to semantic search to agent-based browsing - and translate emerging signals into actionable strategy. SEO Strategy & Organic Performance Own organic search strategy across ...

tools such as GitHub Copilot and ChatGPT to accelerate delivery. Help shape the future evolution of the platform, including potential AI/LLM and semantic search capabilities. Key Skills & Experience: The Full Stack Engineer will have strong SQL Server/Azure SQL, including database design, data modelling, queries ...

tools such as GitHub Copilot and ChatGPT to accelerate delivery. Help shape the future evolution of the platform, including potential AI/LLM and semantic search capabilities. Key Skills & Experience: The Full Stack Engineer will have strong SQL Server/Azure SQL, including database design, data modelling, queries ...

architectures. AWS, MODCloud, Tanzu, EKS or other cloud-native platforms. Event-driven architectures and asynchronous messaging. Istio, mTLS or service mesh technologies. Knowledge of semantic search, knowledge graphs or ontology-based solutions. Mandatory Requirements Current DV Security Clearance. Ability to work onsite at an MOD location in London ...