24 of 24 Retrieval-Augmented Generation Jobs in the South East

AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we're on an exciting journey with AI … develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services Implement prompt engineering techniques and Retrieval-Augmented Generation (RAG) architectures. Ensure scalability, security, auditability, and efficiency of AI solutions through detailed system design and development practices. Deploy and manage AI solutions via CI/CD pipelines in Azure DevOps … deploying, and managing production-grade AI and Generative AI systems. Extensive experience with Cloud-based AI and Cognitive Services, and Retrieval-Augmented Generation (RAG) architectures. Deep expertise in API integration, preferably within the Azure ecosystem. Experience with Infrastructure as Code (IaC) across development, testing, and production environments. Solid understanding of Azure networking principles, security More ❯

for a Data Scientist with strong NLP and Python skills, and hands-on experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG). You'll be comfortable developing production-ready AI tools and collaborating across engineering, IT, and business functions. About the role: We're hiring a Data Scientist specialising in NLP … internal users across diverse teams - from design and manufacturing to systems engineering - developing tools powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), and modern NLP techniques. From data preparation to algorithm design and deployment, you'll own the full data science lifecycle and help shape the future of AI capability across the … formed GenAI team, with plenty of opportunity to influence tooling, architecture, and strategy. Key Responsibilities: Design and deliver NLP and LLM-based algorithms tailored to internal user needs Apply RAG methods to provide accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to translate needs into AI solutions Clean, process, and manage More ❯

NEW CONTRACT AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company Contract AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £350-450 Outside IR35 (competitive) To apply please email WHO WE ARE We're working with an innovative organisation at the forefront of AI-powered solutions, focused on … THE ROLE We're seeking AI Engineers to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational AI flows with … LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience More ❯

AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company (Open to UK-Based candidates) Contract Junior AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £250-300 Outside IR35 To apply please email WHO WE ARE AI Company sitting in Sports Space. THE ROLE We're seeking AI Engineers … to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational AI flows with LangGraph and OpenAI function-calling Integrating live … data (e.g., sports data, betting) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience More ❯

problem-solving skills and the ability to work autonomously in a dynamic environment. DESIRABLE SKILLS Experience supporting LLM training or retrieval-augmented generation (RAG). Familiarity with feature stores, vector databases, or embedding pipelines. Understanding of data quality, lineage, and governance best practices. Exposure to cloud platforms (AWS, Azure, or GCP) and distributed compute More ❯

Prompt Engineer (AI & Data) – Junior to ExperiencedRemote work - United Kingdom Competitive day rate AI | LLMs | RAG | Healthcare Tech | Data Engineering Tech for Good | Real-World Impact | Ethical AI We're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a Full Stack Developer with a strong backend … Be Doing Designing, testing, and refining prompts for LLMs (OpenAI, Claude, etc.) Building prompt libraries and evaluation frameworks Structuring unstructured data (PDFs, notes, forms) into usable formats Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.) Embedding LLMs into user-facing healthcare tools (e.g., AI assistants, in-context help) Collaborating with product, design, and clinical teams to ship real … and prompt engineering (OpenAI, Anthropic, etc.) Familiarity with structured (SQL, JSON, CSV) and unstructured data Exposure to vector stores and retrieval-augmented generation (RAG) Strong Python skills and comfort working with APIs and data pipelines Bonus: experience in healthcare, accessibility, multilingual interfaces, or regulated environments Why Join? Work on AI that actually helps people More ❯

LLM & Generative AI Engineer. Description Work on emerging GenAI projects Design and Develop state of the art language models Develop proof of concepts Explore Retrieval Augmented Generation (RAG) methods Solve industry relevant problems Design and implement artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms … Software Engineering background in C++, Python or similar NLP Tasks (Natural Language Processing) Experience with LLMs (Large Language Models) Hands on experience with RAG techniques (Retrieval Augmented Generation) Generative AI Job Offer Private Medical Bonus (18%) Private Pension 25 days + BHs Flexible working More ❯

Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g. MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What We Offer More ❯

environments (Azure preferred), including Azure Functions, APIM, Azure AI Foundry, Resource Groups, Azure Storage Accounts, App Insights, Key Vault, etc. GenAI Application Development - Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace More ❯

secure cloud development practices and IAM role design. Understanding of LLM fine-tuning, embeddings, vector stores (e.g., Pinecone, FAISS, OpenSearch). Exposure to contact centre automation, conversational agents, or RAG pipelines. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities More ❯

team building scalable GenAI solutions, architect Agentic AI components, and integrate them into enterprise systems.Skills- Strong experience in full-stack and cloud-native engineering (Azure preferred) Expertise in GenAI (RAG, prompt engineering, LLM APIs) Deep knowledge of Agentic AI systems and orchestration Proficiency in Python, SQL, NodeJS (React is a plus) Agile leadership and stakeholder collaboration skills Details- 6 month More ❯

working with a small, agile team focused on deploying open-source models into production environments.?? Key Responsibilities Fine-tune and evaluate LLMs for domain-specific tasks Build and optimise RAG pipelines using vector databases Develop prompt engineering strategies and orchestration flows Integrate models into backend services via APIs Implement evaluation frameworks for response quality and reliability Essential Skills Strong Python More ❯

of machine learning AI/ML pipelines and fine-tuning pipelines to adapt foundation LLMs to enterprise-specific datasets• Work with embedding models and OCI Vector Database to implement RAG Solutions.• Provide technical guidance and best practices around MLOps, model versioning, deployment automation, and AI governance.• Collaborate with functional SME’s, application teams, and business stakeholders to identify AI opportunities More ❯

optimized for complex financial workflows Event-driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For 5+ years developing AI/ML systems beyond basic integration More ❯

backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Remote Salary: Up to £120,000 , depending on More ❯

systems and significantly impact the direction of a successful early-stage business. Role Overview: Key Responsibilities: AI Software Development: Develop and enhance the company's AI-based (LLM/RAG) software. System Integration: Integrate offline versions of the software into customer systems. Backend Development: Work primarily with Python to build scalable backend systems and APIs. Minimum Qualifications & Experience: Backend Proficiency More ❯

About the Role Base Location: Reading, Havant, Perth, Glasgow Salary: £61,620 - £72,592 and a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent Full Time Flexible working options available The role As a More ❯

About the Role Base Location: Reading, Havant, Perth, Glasgow Salary: £61,620 - £72,592 and a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent Full Time Flexible working options available The role As a More ❯

LLM-Augmented Software Generation and Transformation – Senior Researcher Slough (UK) Our purpose is to make the world more sustainable. Fujitsu’s Research and Development (R&D) is at the forefront of Fujitsu's sustainability transformation strategy, conducting cutting-edge research to tackle social challenges and improve our future world. Your role will involve Conducting research and … development in automated software engineering, including but not limited to code representation for LLM, automatic program repair, generative AI for test generation, next-generation user interface for AI coding agents, and architecture for AI coding agents. Providing technical leadership and collaborating with Fujitsu Global R&D teams to develop novel software development technologies in the generative … related field, with a strong research track record, including publications in top-tier conferences and journals. Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as More ❯

data team and creating a culture that enables growth, development and psychological safety Exploring and applying Large Language Models (LLMs) and other modern AI techniques (e.g., embeddings, retrieval-augmented generation, summarisation) to enhance internal tools, automate workflows, or develop client-facing features Acquiring, cleaning, and integrating data from internal and external sources to enrich More ❯

data team and creating a culture that enables growth, development and psychological safety Exploring and applying Large Language Models (LLMs) and other modern AI techniques (e.g., embeddings, retrieval-augmented generation, summarisation) to enhance internal tools, automate workflows, or develop client-facing features Acquiring, cleaning, and integrating data from internal and external sources to enrich More ❯

part of a small, elite, cross-functional team. What You’ll Be Doing: Designing and implementing NLP pipelines for transcription, topic extraction, and summarisation Developing modular LLM workflows (e.g., RAG, graph-based reasoning) optimised for low-resource deployments Integrating structured and unstructured data: transcripts, policy documents, supply chain models Collaborating with platform engineers to containerise models for edge inference Defining … experience building and deploying NLP/LLM solutions, including summarisation, entity extraction, and topic modelling Strong Python skills with libraries such as HuggingFace Transformers, spaCy, PyTorch/TensorFlow, or RAG frameworks Experience with knowledge graphs, GNNs, or graph-enabled retrieval Proven ability to optimise ML systems for air-gapped, low-compute, or edge environments Understanding of evaluation methods More ❯

high-performance services using Golang in secure environments Develop ingestion and processing pipelines for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to … orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs, or LLM deployment Bonus: Prior experience within Defence, aerospace, or highly regulated industries Why It Stands Out: This isnt a generic software build. Youll help More ❯

high-performance services using Golang in secure environments Develop ingestion and processing pipelines for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to … orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs, or LLM deployment Bonus: Prior experience within Defence, aerospace, or highly regulated industries Why It Stands Out: This isn’t a generic software build. You More ❯