1 to 25 of 35 Semantic Search Jobs in England

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone … to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role Are you looking to make a real impact and play a meaningful role in … focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What Will You Be Doing Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging More ❯

data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. More ❯

Qdrant is an open-source, high-performance vector database and similarity search engine, designed to power AI-driven applications. Our technology helps developers build state-of-the-art semantic search, RAG, recommendation systems, and large-scale AI solutions. We are growing our DevRel team and looking for passionate individuals to help shape the future of vector search … within the global developer community. Your mission is to educate, engage, and empower developers by creating technical content, fostering open-source contributions, and advocating for best practices in vector search and machine learning applications. You will work closely with engineering, product, and marketing teams to drive adoption and build a strong community around Qdrant. Requirements Community Engagement : Grow and … Write blog posts, tutorials, and documentation to help developers integrate Qdrant into their projects. Public Speaking & Events : Represent Qdrant at conferences, webinars, hackathons, and meetups to advocate for vector search technology. Developer Support & Onboarding : Help new users get started with Qdrant by creating educational resources and improving documentation. Open-Source Contributions : Collaborate with developers to improve Qdrant's open More ❯

AI/ML models at scale. To succeed in this role, you'll bring hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, and personalization. You'll also demonstrate a strong understanding of user behavior data and how to use it to influence product development. A product mindset and ability to … innovative, international team and workplace that encourages learning and growth. Who you are: Experience working in a Data Science or Machine Learning role, ideally on consumer-facing products like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a More ❯

Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR Familiarity with semantic search, vector databases, and explainable AI Understanding of music licensing and rights management Background in retail tech or B2B SaaS is a plus What We Offer A unique More ❯

Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR Familiarity with semantic search, vector databases, and explainable AI Understanding of music licensing and rights management Background in retail tech or B2B SaaS is a plus What We Offer A unique More ❯

via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms Model Context Protocol (MCP) Implement secure, policy-aligned Model Context Protocol (MCP) for managing contextual memory More ❯

via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms Model Context Protocol (MCP) Implement secure, policy-aligned Model Context Protocol (MCP) for managing contextual memory More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯

LEAD AI ENGINEER LIVERPOOL 2 DAYS ON-SITE INSIDE IR35 A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities More ❯

Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications. We are growing fast and looking for passionate, curious, and driven team members who want to help shape the … looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You'll play a dual role - driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. This is a unique opportunity to combine engineering excellence with external advocacy … to open-source projects or engaging with developer communities. Comfortable presenting and participating in public forums, events, or customer meetings. Bonus Points Contributions to AI infrastructure, vector databases, or search systems. Experience building ML-powered products in production. Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG). Public speaking or published technical content (talks, blog posts More ❯

They're now looking for engineers who want to help shape that future. What You'll Be Working On: Building and optimising RAG pipelines including chunking, embeddings, and vector search Creating full LLM integrations using OpenAI, Hugging Face, and orchestration frameworks Developing robust AI agent systems with tool chaining and multi-step logic Building real-time frontend interfaces using … For: 3+ years' experience as a full-stack engineer with strong Python skills Proven track record with LLMs, agentic systems, and RAG pipelines Experience with vector databases, embeddings, and semantic search Solid grasp of prompt engineering and LLM integration best practices Familiarity with containerisation, API design, and modern ML deployment tools Bonus if: Experience with PyTorch or model More ❯

and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker, Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If youre excited to grow your skills in machine learning and work on technology that helps people understand complex More ❯

compromising quality. Nice to Haves Experience finetuning largescale transformer models (BERT, GPT) and promptengineering for sentiment tasks Background building activelearning and annotation pipelines to bootstrap training data Familiarity with semantic search or vector databases (Elasticsearch, FAISS, Pinecone) for topic modeling and similarity queries Familiarity with crypto markets, order books, and risk-management frameworks Familiarity with anomalydetection methods for More ❯

Infrastructure as Code (IaC) engineering, gained through hands-on development experience. Key areas of proficiency include: Programming Languages: Python, Java and Go. AI/ML: prompt engineering, LLMs, RAG, Semantic Search, Vector Databases, etc Behavior-Driven Development (BDD) Testing: Cucumber, JBehave, Pytest-BDD, etc. CI/CD (Continuous Integration/Continuous Delivery) pipelines : Harness, Tekton, Jenkins, etc. Chaos … disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster. More ❯

and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker, Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand More ❯

and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker, Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯

Social network you want to login/join with: Join our team and youll be responsible for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data … models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your life outside work as how you feel when youre More ❯

/Slack/Notion). Disciplined towards best practice version control, CI/CD and code extensibility. Values 'interface safety' through dimensionality reduction at interfaces. Exceptional at 'breadth-first search' through Googling when tackling new challenges, and consistently mindful of local maxima. Intellectually curious with a growth mindset - able to tackle entirely novel challenges that lack prior precedent through … training & validation architecture to prod, so that we can correctly eat up our '1.0' systems at the right time Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity More ❯

/Slack/Notion). Disciplined towards best practice version control, CI/CD and code extensibility. Values 'interface safety' through dimensionality reduction at interfaces. Exceptional at 'breadth-first search' through Googling when tackling new challenges, and consistently mindful of local maxima. Intellectually curious with a growth mindset - able to tackle entirely novel challenges that lack prior precedent through … training & validation architecture to prod, so that we can correctly eat up our '1.0' systems at the right time Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯

to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is More ❯