26 to 39 of 39 Retrieval-Augmented Generation Jobs in the South East

leading a team of engineers, defining technical roadmaps, and maintaining high engineering standards. Ideal candidates should have extensive experience with AI technologies, especially in RAG and LLMs, as well as strong programming skills in Python, React, and TypeScript. The position is hybrid, requiring three days in the office weekly, located ...

backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise … software engineering, with strong experience in Python and/or Java Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with ...

backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation → prototyping → production Optimise … software engineering, with strong experience in Python and/or Java Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with ...

value What We’re Looking For Experience delivering AI/GenAI solutions in a real business environment (not just demos) Strong understanding of LLMs, RAG, and workflow/automation patterns Ability to turn ambiguous problems into practical, shipped solutions Hands-on builder—comfortable prototyping, integrating tools, and iterating quickly Outcome ...

working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home ...

involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities … Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring ...

major projects, with high-impact, end-to-end ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver end-to-end AI systems from discovery to production … product teams, and senior stakeholders across the business Tech stack Python & SQL (essential) GCP (preferred, but flexible depending on experience) LLMs/GenAI/RAG/agentic frameworks (LangChain, LlamaIndex etc.) MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science ...

/or data platforms at scale Experience in a senior technical or leadership role (3+ years) Strong understanding of modern AI approaches, including LLMs, RAG, and orchestration Knowledge of cloud environments, security, and compliance considerations Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment ...

ideas to both technical and non‐technical audiences Nice to Have Research experience in areas such as large language models (e.g., training, fine‐tuning, RAG, evaluation, synthetic data generation), agentic AI, big data technologies, or digital twins Familiarity with emerging research and tooling ecosystems such as LangChain, LangGraph ...

opportunity to work on a cutting-edge programme delivering scalable, AI-driven solutions across modern AWS infrastructure, React front ends, and advanced LLM/RAG workflows. London-based | 5 days onsite 12-month contract + likely extension £600-£800 per day (PAYE) Join a high-profile greenfield initiative within … opportunity to work on a cutting-edge programme delivering scalable, AI-driven solutions across modern AWS infrastructure, React front ends, and advanced LLM/RAG workflows.What you'll be doing Building and enhancing cloud-native applications using Java and/or Python Developing modern React front-end solutions Designing scalable ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. ...

enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/… within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong ...

Agents, and Denial-of-Wallet-into rigorous test cases. AWS Bedrock Mastery: Overseeing the secure model lifecycle, including the configuration of Guardrails, Knowledge Bases (RAG), and Agentic tool-use. Regulatory Stewardship: Mapping the firm's safeguard catalogue against the specific demands of DORA, FCA Operational Resilience … appetite. Essential Skill Proven track record in UK Financial Services with deep knowledge of FCA compliance and DORA. Solid grasp of Foundation Models (FMs), RAG, and the risks of non-deterministic agentic behavior. Mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework. Hands-on experience securing ...

users ranging from highly technical teams to more non technical stakeholders Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms Partnering with a solutions consultant … commercial experience building and deploying AI or LLM powered systems into production Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches Experience working with modern data platforms and warehouses such as Snowflake or BigQuery Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J ...