22 of 22 Semantic Search Jobs in the UK

Engineer Search and Retrieval - Full time Permanent - Remote in the UK I'm working with an interesting, fast-growing business that sits at the intersection of data, knowledge, and decision making. They support consulting and private equity firms by helping them access and surface high-quality insight both from … external experts and their own internal knowledge. What you'll be doing Define and design a scalable, cloud-native search architecture from the ground up Evaluate and select the right technologies across keyword, vector, hybrid, and graph-based search Design indexing, ranking, and data modelling strategies Establish clear ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Software Engineer I - Search Platform About the role We are seeking a Senior Software Engineer I to join the Search Platform team within Elsevier's Search and AI Platform. This role is well suited to an experienced backend engineer with hands‐on search experience who enjoys building reliable, cloud‐native systems at scale. You will work on core search services and APIs that support products such as Scopus and ScienceDirect, helping millions ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Science Team Lead, Search & Evaluation About the team: Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content … 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. About the role: We are seeking a Search ...

includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure … prompting, chain-of-thought, structured output, and instruction tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning ...

applications, services, and workflows. Implement and optimize agentic workflows , including planners, evaluators, and autonomous task agents. Develop LLM‐powered features such as content generation, semantic search, test‐case generation, and intelligent orchestration. Contribute to prompt engineering, output validation, RAG pipelines, and model behavior evaluation. Production‐Grade AI Systems ...

design and backend architecture Proficiency with Git Willingness to work 2 days per week onsite in London Nice to have Exposure to NLP or search systems (e.g. semantic search) Experience working with LLMs or generative AI Frontend experience (e.g. React ) Experience with Elasticsearch or OpenSearch Experience with ...

Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow ...

Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow ...

analytics environment Familiarity with tracking data (e.g., StatsBomb 360, SkillCorner, Second Spectrum) and the additional modelling challenges it introduces Experience with vector databases or semantic search systems for unstructured data retrieval Exposure to cloud infrastructure (AWS, GCP, or Azure) for scalable data pipeline deployment Experience with modern data ...

engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences Build Knowledge Graph capabilities to underpin agentic workflows Own the end-to-end ML lifecycle from raw data ...

. Understanding of agentic AI patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm ...

e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information … retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re‐rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi‐agent frameworks/systems and an understanding of multi‐agent ...

Designing and building GenAI platform components that help teams create and deploy AI solutions safely and efficiently Implementing LLM‐based systems , including RAG, embeddings, semantic search, and agent‐based workflows Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control Building and evolving MLOps pipelines , from … building production AI or ML systems , with recent focus on Generative AI/LLMs A strong understanding of RAG architectures , embeddings, vector databases, and semantic retrieval Experience with MLOps , including deployment, monitoring, evaluation, and CI/CD for AI systems A solid software‐engineering background, building scalable backend services ...

have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems. Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance ...

experience with AWS AI/ML services (Bedrock, AgentCore, SageMaker), including designing secure, private-network AI environments and RAG patterns (embeddings, vector stores, semantic search) - Demonstrated ability to engage and influence senior technical stakeholders (CTO, CAIO, VP Engineering) in complex, regulated enterprise environments PREFERRED QUALIFICATIONS: - Direct domain experience ...

practical delivery plans. The skills & experience needed Experience building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‐tuning). Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models. Experience with AI infrastructure (orchestration … pipelines, GPU compute, model hosting services) and scalable AI data structures (including vector databases/semantic search). Deep software engineering capability in .NET Core/C# and modern back-end engineering, with flexibility to work across languages such as Python, Go, or TypeScript. Strong understanding of distributed ...

/ML or LLM-based applications Understanding of APIs, backend systems, and cloud environments Interest or hands-on experience with RAG or semantic search Senior-Level 5+ years of experience in software engineering Strong experience designing and deploying AI-driven systems Proven experience building or scaling RAG architectures ...

reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data ...

powered content intelligence platforms. A significant part of your role involves building rapid prototypes-leveraging AI-powered development tools to quickly demonstrate solutions like semantic search across media archives or automated content tagging pipelines. These prototypes help customers visualize how AWS can transform their workflows. You'll collaborate ...

within Azure DevOps A problem-solving mindset with the ability to balance innovation with practical delivery Nice to have Experience with vector databases or semantic search Exposure to tools such as OpenAI, Azure OpenAI, or similar AI platforms Experience building reporting or analytics platforms Knowledge of Kubernetes ...

within Azure DevOps A problem-solving mindset with the ability to balance innovation with practical delivery Nice to have Experience with vector databases or semantic search Exposure to tools such as OpenAI, Azure OpenAI, or similar AI platforms Experience building reporting or analytics platforms Knowledge of Kubernetes ...

MySQL, document stores, blob storage) Hands-on experience with AI/LLM integrations Exposure to tools such as: Amazon Bedrock (or equivalent) Vector/semantic search (e.g. OpenSearch) Experience building AI-driven workflows and pipelines Why This Role? Opportunity to contribute to a high-impact AI transformation project ...