76 to 100 of 100 Semantic Search Jobs in the UK

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 ...

Senior Data Engineer will have experience with vector databases e.g. Qdrant. The Senior Data Engineer will build data pipelines to support AI applications like semantic search, recommendation engines, and RAG. The Senior Data Engineer will manage query operators, query optimisers and query shapes in MongoDB. And work with ...

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 ...

integration patterns that enable AI capabilities to interact effectively with MES business processes. Leading the platform's approach to data modelling, ontology strategy, semantic understanding, and business context required for AI-driven experiences. Providing architectural leadership across multiple engineering teams delivering AI, Integration, IoT, Connected Worker, and platform capabilities. … into enterprise software products. Experience designing APIs, service contracts, and software architectures. Experience with cloud-native application development and modern SaaS architectures. Experience with semantic modelling, ontologies, knowledge graphs, or domain-driven modelling approaches used to represent complex business domains. Strong understanding of software architecture, security, scalability, reliability ...

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 ...

data‐driven applications in collaboration with Product, Business and Engineering teams. Use cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Distill and communicate complex analytical ...

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 ...

detail, and a clear contract between the two. Practical experience with data governance operating models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. … support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset management, market data or fund reporting. Experience in on-premise or regulated environments ...

collaborate across engineering, product, and commercial teams to deliver scalable ML solutions. The role focuses on building, evaluating, and deploying models, improving semantic search, and maintaining production pipelines. #J-18808-Ljbffr ...

integrating AI services into enterprise platforms. Expertise in evaluating, testing, and optimising LLM and AI Agent performance. Desirable Experience: Knowledge of Knowledge Graphs and Semantic Search. Understanding of Responsible AI principles. Experience with AI Evaluations (Evals) and re-ranking techniques. Familiarity with caching strategies, token optimisation, and cost management. … preferred. Track record of delivering AI solutions from proof of concept to production in enterprise environments. Previous experience in building enterprise knowledge management, search, or retrieval solutions is highly desirable. Team Fit: The team consists entirely of contractors, seeking a proactive, self-driven individual eager to make an immediate ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether ...

continuous learning is essential, with solid NLP and financial knowledge and hands‐on implementation experience. The role focuses on advanced techniques such as semantic search, RAG, NER, prompt engineering, and personalization for content #J-18808-Ljbffr ...

efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether ...

their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1400+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite … systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search. Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially ...

core engineering team to own complex problems from ideation to production. The role emphasizes hands-on model training, fine-tuning and evaluation across semantic search and document intelligence tasks, with a strong focus on making models robust and production-ready. #J-18808-Ljbffr ...

C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product … Evaluate AI outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/9 NET Core Azure Azure OpenAI OpenAI APIs Semantic Kernel Vector Databases SQL Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. ...

C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product … Evaluate AI outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/9 NET Core Azure Azure OpenAI OpenAI APIs Semantic Kernel Vector Databases SQL Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. ...