1 to 25 of 26 Semantic Search Jobs in London

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 ❯

for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs … systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI More ❯

for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs … systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI 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 ❯

Foundation, supporting a broad range of workloads. Amazon OpenSearch is a managed service that makes it simple to run OpenSearch in the AWS cloud. Are you passionate about building search, observability, and Generative AI applications with OpenSearch? AWS is seeking a customer-obsessed and technically driven OpenSearch Specialist Solutions Architect. As a member of the Data Specialist SA team … in WWSO, you will serve as a trusted technical advisor and subject matter expert for Amazon OpenSearch, helping customers architect scalable, secure, and performant search, analytics solutions. You'll collaborate with solution architects, product teams, and sales to deliver strategic guidance, deep technical expertise, and thought leadership in areas like semantic search, observability, and large-scale log … analytics. Whether it's advising startups on search architecture, observability, and security solutions, or helping enterprises integrate OpenSearch with GenAI workflows, you'll play a key role in accelerating customer innovation. Key job responsibilities - Provide deep technical expertise for customer engagements involving OpenSearch, designing and deploying scalable, high-performance search and analytics solutions. - Lead architectural reviews, migration assessments 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 ❯

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 ❯

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 ❯

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 ❯

/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 ❯

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 ❯

is to scale intelligence to serve humanity. Were 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 ❯

100x growth milestone. In this role, you will: Own the development and application of LLM-based features end-to-end Build and maintain evaluation frameworks for prompt iteration and semantic retrieval Optimise embeddings and vector stores for performance and scalability Interact with users to understand their problems and design solutions Stay up-to-date with the latest trends in … product Your background looks something like: Engineering experience at tech and product-driven companies Shipping LLM-based solutions to production Experience with inference and evaluation platforms Experience with RAG, semantic search, vector stores, embedding Building features end-to-end with TypeScript, React.js, and Node.js As a person, you Are first and foremost abuilder. Are excited towork in-personfrom 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 ❯

is to scale intelligence to serve humanity. Were 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 ❯