17 of 17 Remote/Hybrid Semantic Search Jobs in London

build systems across: Large language models and multi-model architectures Natural language processing and information extraction Agentic and automated research workflows Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure … reached real users. Worked with transformer architectures or fine-tuned language models. Designed evaluation frameworks for generative AI systems. Built retrieval, RAG, embedding or semantic-search systems. Worked with large, noisy or multilingual text datasets. Built high-throughput or low-latency data pipelines. Experience operating machine learning models ...

Engineering, and will share in the ownership and delivery of cutting edge, scalable ML models. Initial workstreams will likely include: Content Recommendation and Personalisation Search Optimisation Audio Modelling You will play a crucial role in transforming our data into genuinely useful product features that empower artists and connect … Data Scientist, you will be responsible for: Developing and implementing ML-based solutions to enhance and optimise the Beatport customer experience. This may include semantic search to improve crate digging, content recommendation/personalisation engines, or leveraging our catalog for the development of best-in-class audio models ...

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 ...

arrangement, with compensation ranging from £90,000 to £105,000 annually. The successful candidate will own and evolve Kharon's risk intelligence platform, redesign semantic search capabilities, and partner with product and engineering teams. The role requires a strong background in data science, familiarity with semantic search ...

frameworks such as PyTorch, TensorFlow, and Keras. Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex. Implement and optimize vector database, semantic search, and hybrid search solutions for AI-powered applications. Perform model fine-tuning using advanced techniques such as LoRA and QLoRA … repositories Proficiency in LangChain and LlamaIndex for building AI-powered workflows Experience implementing Retrieval-Augmented Generation (RAG) frameworks Knowledge of Vector Databases and Hybrid Search techniques Strong understanding of Natural Language Processing (NLP) concepts and applications Experience with data processing, transformation, and feature engineering Expertise in developing and integrating ...

libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow. Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models. Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques. Ability to build scalable AI workflows and deploy them via APIs ...

communication, stakeholder management, and problem-solving skills within agile delivery environmentsBonus Points ForExperience building AI agent frameworks or autonomous orchestration platformsKnowledge of vector databases, semantic search, and advanced RAG architecturesExperience with cloud platforms such as AWS, Azure, or GCP for AI workloadsFamiliarity with financial services, banking, or regulated ...

Claude, Gemini, or Azure AI Experience building Agentic AI workflows, orchestration frameworks, AI copilots, or autonomous process automation solutions Knowledge of AI-driven APIs, semantic search, RAG architectures, and vector database integrations Azure certifications such as AZ-900, AZ-204, or AI-900 would be advantageous Key Responsibilities ...

infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really … production. Depth in at least one of the following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex ...

GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams ...

Kharon is seeking a full-time Data Scientist for Retrieval & Agentic Systems based in London. You will own Corestream and evolve semantic search, leveraging BM25, vector search, RAG, and RDF-like pipelines. You will integrate risk outputs into search and drive narrative generation, collaborating with Product ...

governed, scalable, and AI-consumable Develop, maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum … solid understanding of compliance, data governance, and access control requirements Hands‐on familiarity with knowledge management technologies: SharePoint Online/M365, graph databases, semantic search, vector stores, or enterprise content platforms Experience with enterprise search and knowledge discovery platforms, including evaluation, implementation, or scaled deployment of intelligent ...

automation from their data. Key Responsibilities: Design and develop Agentic AI applications and workflows Build and optimise Knowledge Graphs using Neo4j Develop GraphRAG and semantic search solutions Integrate LLMs with enterprise data sources Work closely with engineering and data teams to deliver production-ready AI systems Required Skills ...

each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation. Build, evaluate, fine-tune, prompt, and integrate models ...

managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. ...

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 ...