76 to 96 of 96 Retrieval-Augmented Generation Jobs in England

LLMs & Generative AI A leading UAE financial institution is expanding its AI capabilities with a dedicated AI & Data Science team focused on deploying LLMs, RAG, and Generative AI at scale. With several AI products already in production and a roadmap to launch 10+ AI-driven solutions in 2025, this role … scaling, and deploying AI models that deliver real business impact . Key Responsibilities Lead AI innovation with a focus on LLMs, Generative AI, and RAG for real-world applications. Drive end-to-end development and deployment of AI models from ideation to production . Build and scale an elite data … and customer experiences. Work cross-functionally to embed AI into core products and services. Stay ahead of advancements in LLMs, GenAI, and retrieval-augmented generation to ensure cutting-edge solutions. Define AI governance, scalability, and commercialization strategies for sustainable impact. Your Profile 12+ years More ❯

Interim Senior AI Engineer – GenAI/RAG, Financial Services 6-Month Contract We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's … time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows More ❯

Interim Senior AI Engineer – GenAI/RAG, Financial Services 6-Month Contract We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's … time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows More ❯

Natural Language Processing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search). Strong business acumen and consulting skills to identify and analyze problems, formulate hypotheses. Critical thinking and attention to detail, with … in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment and encourage applications from underrepresented More ❯

Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a …/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯

Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with More ❯

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 More ❯

intended for a myriad of customers including end-user merchants, B2B, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local … EC2, S3, RDS, Lambda, etc. Microservice Architecture: Designing and developing microservices, inter-service communication (REST, Pub/Sub) Generative AI: Prompt engineering, understanding of RAG and fine tuning, familiarity with tools like Langchain and Crew AI SSDLC: Experience with static and dynamic code analysis tools (Nexus, SonarQube, Checkmarx, ESLint, Checkstyle More ❯

ML Retrieval Infra team owns the lower-level components to power retrieval-powered AI applications like RAG (Retrieval Augment Generation) or recommendation use cases. Some of those components include a VectorDB and the layers on top of it. Responsibilities … Design & Develop Scalable Retrieval Infrastructure : Build and maintain the infrastructure powering retrieval-based AI features like Retrieval Augmented Generation and recommendation engines. Ensure the vector search engine is scalable, reliable, and easy to maintain by enhancing deployment, monitoring, and fault More ❯

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 technologies. Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data … Along: 8+ years of experience in designing and architecting enterprise-level solutions. An understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and More ❯

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 technologies. Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data … Bring 8+ years of experience in designing and architecting enterprise-level solutions. An understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and More ❯

conclusions in a data-driven manner. Developing scalable and novel ways to personalize LLMs based on information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve … for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of transformer models and their common variants, loss More ❯

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 More ❯

is a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools. … Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems and architecture. Experience building ontologies in the e-commerce and semantic search spaces. Knowledge Graph and RAG -AI Architecture. Desirable: Experience with More ❯

The Role We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change. This is a hybrid role with 2 to 3 days at our London office. … frontier AI research into the workflow of scientists. This will involve designing and implementing front-end tools for novel interaction patterns with generative models, RAG, and scientific visualizations. This role will also design and build the back-end services which deliver agentic scientific workflows at scale, such as the orchestration More ❯

a SaaS company with AI features hastily bolted on. We use the best techniques (fine-tuned open-source models, tool use, and retrieval-augmented generation), and as a result, users send 53% of the email drafts we generate. How has it been going? Since More ❯

security company Snyk . At Tessl, we believe AI will fundamentally change the way software is developed, beyond short-term wins like code generation and bug fixing. As a result, we're reimagining the software creation process to be truly "AI native," enabling a whole host of ground … Deeply curious about AI and excited about the future of software engineering. Nice to have Deeper experience in wrangling LLMs, fine-tuning models, building RAG systems, benchmarking large systems, or advanced prompting techniques. Masters or PhD in AI, Machine Learning or relevant computational science degree, or equivalent. Experience training and … fine-tuning models for code generation in particular, or experience using them in systems or products. Programming language geek who's fascinated by the structure of code and the different ways we communicate with computers. Experience working in fast-paced, high growth environments, with a high bias towards More ❯

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 More ❯

Our suite of development tools is powered by Palmyra - Writer's state-of-the-art family of LLMs - alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over … but attainable sales targets to continue building and developing Writer's success with enterprise customers Establish and iterate on sales processes, including lead generation, qualification, pipeline management, POC oversight, and forecasting, to drive consistent and predictable results. Hire and develop top sales talent aligned with our connect/ More ❯