16 of 16 Permanent Retrieval-Augmented Generation Jobs in Cambridge

building and optimizing Large Language Model (LLM) inferences and creating robust web services. This includes developing event-driven and request-response systems to run RAG (Retrieval-Augmented Generation) answer generation pipelines, essential for delivering sophisticated AI-driven solutions. Your role will require … an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code More ❯

Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. … and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design practical AI solutions with business outcomes in mind. Excellent communication skills – able to work cross More ❯

GPT-4, Claude, Gemini, and beyond) Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced … and deployment in production Choose relevant computational tools for study, experiment, or trial research objectives Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state … of-the-art techniques Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack Present results directly to stakeholders More ❯

build and evolve Generative AI (GenAI) proof-of-concepts (POCs) for clients using techniques like Retrieval-Augmented Generation (RAG) and intelligent agents. Support the transition of these POCs into scalable, production-ready solutions. C Contribute to the design and development of full-stack applications More ❯

cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. Knowledge of LLM security challenges, including prompt More ❯

senior stakeholders to define GenAI strategies, architect solutions, and guide implementation across diverse industries. What you’ll do: Design and deliver GenAI platforms (LLMs, RAG, MLOps, etc.) Lead agile digital transformations and IT strategy engagements Collaborate with cross-functional teams on high-impact AI initiatives Mentor junior consultants and contribute More ❯

businesses. In this role, you will innovate in fast-moving AI research fields, focusing on integrating structured and unstructured information into AI systems (e.g., RAG techniques), with immediate application to Amazon products. If you have deep expertise in LLMs, natural language processing, and machine learning, this could be the perfect More ❯

fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine More ❯

snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant More ❯

a technical subject Proficiency in Python and its ecosystem Active engagement with the AI space and proactive exploration of new AI technologies (Agents, MCP, RAG, Chain-of-Continuous-Thought, etc. More ❯

driven data analytics and business intelligence tools to derive valuable insights from data. Promote data-driven decision-making across the organisation. Operationalise ML, GenAI & RAG - strengthen our LLM-based assistant so colleagues can ask plain-English questions and get clear answers Implement data quality management processes to identify and rectify … of initiative, along with excellent organisational skills. Are highly proficient in spoken and written English. With essential experience in Have hands-on experience with RAG architectures (LangChain/LlamaIndex) and vector DBs (pgvector); embedded model fine-tuning & embeddings workflow. Developing and working with a variety of databases and data sets. More ❯

looking for a Senior Machine Learning Engineer to join their dedicated AI Team. What will this role entail: Develop and maintain AI systems including RAG, NLP optimisation, and generative AI using frameworks like SGLang, TGI, and vLLM Build and manage machine learning platforms for model training and evaluation frameworks Optimise … Git version control Understanding of PostgreSQL database management Strong practical experience in machine learning model training and deployment Solid background in NLP tasks and RAG systems Familiarity with HuggingFace and LangChain Proficiency deploying LLMs using frameworks like SGLang, TGI, or vLLM What's in it for me: Salary of 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 Data Engineer with More ❯

looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI infrastructure, working closely with product and platform teams to turn ideas into features. It’s the kind of role where … your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that More ❯

One Ten Hundred Ventures — Summer 2025 “AI Nativity” Intern Help us design the venture fund of the future, one automation at a time. Dates: June 23 – Sept 5, 2025 (flexible) Who we are One Ten Hundred Ventures is an emerging More ❯

platform is already trusted by nearly half of the top 50 financial institutions globally. 🧠 The Technology At the core of our platform is a RAG-based architecture , purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1 … and can build production-ready systems end-to-end Are excited by AI-native product design and have experience working with or around LLMs, RAG, or agent-like architectures Love talking to users and solving real business problems—not just coding in a vacuum Bring an entrepreneurial mindset , with an More ❯