1 to 25 of 71 Semantic Search Jobs in the UK

mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. Our Search & Evaluation organization plays a critical role in shaping the future of AI-powered discovery by building intelligent retrieval, ranking, and evaluation systems that power trusted … scientific and healthcare experiences. The team is responsible for advancing search relevance, retrieval quality, experimentation frameworks, and AI evaluation capabilities across Elsevier’s next-generation AI platforms and products. We combine expertise in information retrieval, machine learning, analytics, experimentation, and generative AI to improve how users discover, synthesize ...

Python and modern Large Language Model (LLM) technologies. This pathway focuses on creating real-world tools such as AI assistants, chatbots, document intelligence systems, semantic search applications, RAG-based knowledge assistants, and workflow automation solutions. Unlike traditional data science or deep learning pathways, this career path does … search. Creating RAG systems that retrieve relevant information from documents, FAQs, policies, or business knowledge bases. Working with embeddings and vector databases to support semantic search and document intelligence. Designing AI workflows that combine multiple steps, tools, APIs, and business rules. Testing AI outputs for accuracy, usefulness, safety ...

Python and modern Large Language Model (LLM) technologies. This pathway focuses on creating real-world tools such as AI assistants, chatbots, document intelligence systems, semantic search applications, RAG-based knowledge assistants, and workflow automation solutions. Unlike traditional data science or deep learning pathways, this career path does … search. Creating RAG systems that retrieve relevant information from documents, FAQs, policies, or business knowledge bases. Working with embeddings and vector databases to support semantic search and document intelligence. Designing AI workflows that combine multiple steps, tools, APIs, and business rules. Testing AI outputs for accuracy, usefulness, safety ...

vector databases and traditional data platforms. Model complex business domains to improve retrieval quality and contextual understanding. Design and optimise hybrid retrieval strategies using semantic search, keyword search, embeddings and knowledge graphs. Evaluate, integrate and extend best-of-breed tooling rather than building infrastructure unnecessarily. Measure, monitor … 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 data sources. Excellent judgement in selecting the right technologies ...

proof-of-concepts. Projects include: Enterprise AI Platforms Agentic AI AI Agents Multi-Agent Systems Voice AI Conversational AI AI Assistants Document Intelligence Intelligent Search Knowledge Management Enterprise Data Platforms Workflow Automation AI Product Development Enterprise Software Modernisation You'll work closely with engineering, architecture, product and executive leadership … Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise ...

Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. … direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns ...

doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability … implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability … implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

platforms and reusable capabilities. Progress successful prototypes into secure, scalable and production-grade solutions. Develop AI agents, enterprise assistants, conversational applications, retrieval-augmented generation, semantic search, intelligent document processing, computer vision and workflow automation solutions. Integrate AI capabilities with enterprise applications, APIs, data platforms, security controls and operational … Experience with foundation models, large language models, machine learning models or multimodal AI applications. Familiarity with AI agents, retrieval-augmented generation, embeddings, vector databases, semantic search, model APIs or orchestration frameworks. Understanding of cloud platforms, APIs, databases, data pipelines, containerisation, enterprise integration and production software practices. Experience with ...

Intelligence Engineering and will share in the ownership and delivery of cutting‐edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance … optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines, and audio models for music professionals. Acting as a subject matter expert regarding GCP’s latest ML/AI tooling and continuously prototyping and advocating for new tooling. Owning the development cycle ...

organization develops foundational AI technologies that power experiences such as LeapSpace , Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform . The Platform Data Science organization works at the intersection of: Search and retrieval systems Generative AI and LLM applications AI evaluation … experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflows About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development ...

organization develops foundational AI technologies that power experiences such as LeapSpace , Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform . The Platform Data Science organization works at the intersection of: Search and retrieval systems Generative AI and LLM applications AI evaluation … experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflows About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development ...

organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI‐powered research assistant, as well as Elsevier’s broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation … experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development ...

statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems. Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users. Strong understanding of model … evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations ...

probability, optimization, experimentation, and applied machine learning**.* Advanced proficiency in Python and modern AI frameworks, including **PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems**.* Experience building and scaling **enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users**.* Strong understanding … frameworks, experimentation, reliability, and operational perfection**.* Expertise in cloud-native AI development using **Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures**.* Experience implementing **MLOps and LLMOps practices**, including CI/CD, model lifecycle management, governance, and production ...

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 ...

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 ...

single source of truth for the enterprise. The role empowers business users to consume trusted, governed, and explainable data products through reporting, semantic models, and approved AI-enabled analytics tools. This is a technical delivery role focused on quality data, AI and analytics through the data platform … integrate AI-enabled analytics and data science capabilities Identify opportunities to and implement outputs that reduce manual reporting and replace with governed data products, semantic models, and AI-enabled analytics consumption Manage stakeholder expectations, prioritisation, adoption, feedback, and reporting rationalisation Support the transition from dashboard-led reporting to governed ...

single source of truth for the enterprise. The role empowers business users to consume trusted, governed, and explainable data products through reporting, semantic models, and approved AI-enabled analytics tools. This is a technical delivery role focused on quality data, AI and analytics through the data platform … integrate AI-enabled analytics and data science capabilities Identify opportunities to and implement outputs that reduce manual reporting and replace with governed data products, semantic models, and AI-enabled analytics consumption Manage stakeholder expectations, prioritisation, adoption, feedback, and reporting rationalisation Support the transition from dashboard-led reporting to governed ...

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. ...

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. Actively contributes to open-source AI projects, research publications and industry events/websites. Familiarity with AI security, privacy ...

supporting high-quality delivery across AI and automation work Design secure, scalable and governed AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Copilot Studio, Microsoft 365, Power Platform and related Azure services Architect multi-model and agentic AI solutions that integrate with enterprise data, APIs, workflows … delivery teams through clear architectural direction Hands‐on experience designing and implementing enterprise AI solutions using Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Search, Copilot Studio and related Azure services Experience designing multi-model AI architectures, including model selection, orchestration, evaluation, grounding, cost management and responsible ...

problem‐solving skills within agile delivery environments Bonus Points For Experience building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking ...

containerization and orchestration technologies such as Docker and Kubernetes. Understanding of Retrieval-Augmented Generation (RAG) systems and AI-assisted application architectures. Familiarity with embeddings, semantic search, vector databases, and context window limitations in LLM systems. Exposure to agent-based architectures and emerging protocols such as the Model Context ...

Forum SID, Open API, or Autonomous Networks training.**Nice-to-Have Qualifications*** Experience with telecom digital twin platforms.* Experience with vector databases, embeddings, semantic search, or RAG.* Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming.* Experience supporting closed-loop automation, predictive ...