26 to 50 of 86 Semantic Search Jobs in England

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 ❯

languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in More ❯

techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data products; containerising solutions with Docker More ❯

teams. Nice to Have: Experience with data versioning tools like DVC or LakeFS. Exposure to data lake/warehouse solutions like Snowflake or BigQuery. Knowledge of vector databases and semantic search. Familiarity with Argo Workflows Previous work in startup or high-growth environments. Background in building internal tools and dashboards for ML teams. Ideal Cyvl Candidate: Self-motivated, self More ❯

About the role As a Data Scientist within Semantic Search, you will influence the search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three … on systems architecture, Machine Learning components, and related technologies Using data to train and fine-tune models Developing efficient and high-quality code in Software Engineering Collaborating closely with Search Engineers, ML Engineers, and Data Scientists Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues Minimum requirements Experience as a Data Scientist or a PhD … graduate with expertise in Semantic Search, recommender systems, information retrieval, or LLMs PhD in Mathematics, Engineering, or Computer Science Hands-on experience with Deep Learning approaches, including modern language models based on transformer architecture Strong coding skills, preferably in Python, with a solid grasp of engineering practices such as version control, testing-driven development, and Continuous Integration Desirable More ❯

As a Data Scientist within Semantic Search, you will influence the search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three days a week … the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. Requirements To excel in this role, we are seeking high … reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: An experienced Data Scientist or a PhD graduate with Semantic Search, recommender systems, information retrieval, or LLM experience. PhD in a relevant field such as Mathematics, Engineering, or Computer Science. Hands-on expertise with Deep Learning approaches, including modern language More ❯

AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and … Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases like Pinecone, Chroma, and PosgreSQL for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput More ❯

AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and … Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases like Pinecone, Chroma, and PosgreSQL for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput More ❯

with agentic AI , multi-agent frameworks, or LLM orchestration Full stack engineering skills (Python/Node.js ) with solid AWS experience Experience with document parsing , unstructured data ingestion, and vector search Understanding of embedding models , RAG pipelines, and semantic search Knowledge of COPE, TIV, deductibles, risk scoring , or insurance use cases is a plus Comfortable working in a More ❯

optimize knowledge retrieval for improved model accuracy and speed. You can apply your knowledge of different indexing/chunking strategies on the data to achieve desired goals. You understand semantic search and vector databases, and how they differ from classic retrieval methods and databases. Experience with reranking and knowledge graphs is a plus. You have a strong engineering More ❯

Social network you want to login/join with: Data Scientist (Semantic Search/Recommender Systems), London Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Reference: 7ed06a2cf166 Job Views: 42 Posted: 24.06.2025 Expiry Date: 08.08.2025 Job Description: Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Apply by 30-May-2025 About the … role As a Data Scientist within Semantic Search, you will influence the search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three days a … on systems architecture, Machine Learning components, and related technologies Using data to train and fine-tune models Developing efficient and high-quality code in Software Engineering Collaborating closely with Search Engineers, ML Engineers, and Data Scientists Promoting data science internally and effectively communicating solutions to non-technical colleagues Requirements Experience as a Data Scientist or a PhD in a More ❯

AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact with APIs, memory modules, structured databases, and UIs. If … and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering … guardrails, and AI safety tools Requirements: Hands-on experinece working with GCP and Google teams Experience with LangChain, LangGraph, CrewAI, Autogen, or similar frameworks Background in RAG, embeddings, vector search, and memory architecture Familiarity with cloud AI platforms and deploying models via APIs Comfortable building end-to-end prototypes (backend to simple UI) Max 2-month notice period ideally More ❯

data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal … engineering legal knowledge base construction specialised embedding methods for multimodal content in the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Performing fine-tuning and reinforcement learning to teach language models how to interact with new 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 ❯

England, United Kingdom 4 days ago Stevenage, England, United Kingdom 6 days ago Cambridge, England, United Kingdom 2 weeks ago Cambridge, England, United Kingdom 3 weeks ago Data Scientist (Semantic Search/Recommender Systems) Babraham, England, United Kingdom 4 days ago Hemel Hempstead, England, United Kingdom 3 weeks ago Cambridge, England, United Kingdom 6 days ago Luton, England … England, United Kingdom 3 weeks ago Tottenham, England, United Kingdom 2 weeks ago Luton, England, United Kingdom 2 weeks ago Cambridge, England, United Kingdom 5 months ago Data Scientist (Semantic Search/Recommender Systems) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J More ❯

data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal … engineering Legal knowledge base construction Specialised embedding methods for multimodal content in the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new More ❯

to play a key role in the development of "Ask Verto," our unique AI-leveraged data research tool. You will be responsible for backend development, including technical solutions for semantic search, data commons, and vector databases. Additionally, you will contribute to the ongoing maintenance and iteration of our products. Responsibilities Investigate and implement technical solutions for semantic search within the tool. Develop the backend for the interactive survey features and vector databases. Ensure efficient data processing and accurate results for natural language queries. Develop functionalities for administrators to review and validate data submitted to the commons. Participate in daily standups and bi-weekly review/planning calls with the client. Provide ongoing backend maintenance and … to AI fine-tuning as needed. Requirements Proven experience with Ruby on Rails development. Strong understanding of backend development, database design, and API creation. Experience with or understanding of semantic search technologies and AI applications is a plus. Ability to work within a ScrumBan methodology. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. More ❯

AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact with APIs, memory modules, structured databases, and UIs. If … and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering … tools Requirements: Strong Python development skills Hands-on experinece working with GCP and Google teams Experience with LangChain, LangGraph, CrewAI, Autogen, or similar frameworks Background in RAG, embeddings, vector search, and memory architecture Familiarity with cloud AI platforms and deploying models via APIs Comfortable building end-to-end prototypes (backend to simple UI) Max 2-month notice period ideally More ❯

AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact with APIs, memory modules, structured databases, and UIs. If … and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering … tools Requirements: Strong Python development skills Hands-on experinece working with GCP and Google teams Experience with LangChain, LangGraph, CrewAI, Autogen, or similar frameworks Background in RAG, embeddings, vector search, and memory architecture Familiarity with cloud AI platforms and deploying models via APIs Comfortable building end-to-end prototypes (backend to simple UI) Max 2-month notice period ideally 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. Who are we? Our mission is 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 responsible for contributing to increasing 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 ❯

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 ❯