25 of 25 Retrieval-Augmented Generation Jobs in the South East

to redefine primary care while helping people live happier, healthier, and longer. Education Masters Degree About the Role You will design, build, and optimize RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling natural language understanding and reasoning over patient data, clinical guidelines … work will directly impact how patients and clinicians interact with our platform, enabling safe, accurate, and context-aware content surfacing. Responsibilities Design and implement RAG architectures using open-source and potentially proprietary LLMs (e.g., LLaMA, Mistral, OpenAI, Anthropic). Build and maintain retrieval pipelines over structured and unstructured … notes, device logs, clinical documentation). Develop indexing strategies using vector databases (e.g., FAISS, Weaviate, Pinecone) and embedding models (e.g., BioBERT, ClinicalBERT). Integrate RAG outputs into user-facing applications, ensuring responses are grounded, reliable, and privacy-compliant. Work closely with product, clinical, and data science teams to fine-tune More ❯

Lead AI Solutions Engineer to join their team! You will be designing, building and optimising Retrieval-Augmented Generation (RAG) systems which forms the basis of their data applications. You will be responsible for developing an RAG platform at scale, integrating numerous data sources and … limited to: Collaborate with cross-functional teams including AI, ML & Analytics to deliver impactful self-service AI-driven data solutions. Design, build and optimise RAG systems at scale which multiple teams will utilise. Develop APIs & dbt to integrate RAG capabilities with existing data sources. Build robust and scalable data pipelines … AI Solutions Engineer will have the following: 5+ years of experience in AI/ML integration, data engineering or backend development. Solid experience with RAG, NLP techniques and LLM-based architectures. Strong knowledge of APIs & dbt, as well as proficiency in SQL & data warehousing concepts. Experience with Terraform & Kubernetes for More ❯

appropriate trade-o s in design and architecture, particularly when integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and other advanced AI technologies. Minimum Qualifications & Experience • 5+ years of experience as a Technical Project Manager or equivalent in managing software and AI … ideally with React and Python stacks, such as Django, FastAPI, or Flask). • Experience delivering AI-driven projects and integrating Large Language Models (LLMs), RAG workflows, or similar technologies (ideally relevant to AVIS or similar products). • End-to-end delivery experience in Agile environments, managing sprints, timelines, and budgets. More ❯

build innovative GenAI proof-of-concept (POC) solutions for clients, leveraging cutting-edge technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Evolve prototype POCs into fully scalable, production-ready solutions that meet client needs. Develop and implement FullStack applications for both GenAI and More ❯

of cloud security and Identity and Access Management (IAM). Knowledge of vector databases and retrieval-augmented generation (RAG). Data pipeline development experience using Airflow, Spark, or similar tools. Experience with AWS Lambda and DynamoDB Streams. Why you'll love working at WorkBuzz More ❯

Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or understanding of LLMS, LangChain, & RAG (Beneficial) Sound of interest? Apply today for immediate consideration! Please note: All candidates must be UK based and have the full right to work in More ❯

Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools More ❯

a key role in building real-world AI solutions. What we're looking for: • Strong Python expertise • Hands-on experience with RAG (Retrieval-Augmented Generation) and deploying LLM solutions • Proven ability to build AI workflows and design effective prompts • Experience defining data pipelines and More ❯

we are looking for experience of building AI enabled prediction & forecasting products. We are expecting technical experience in some of these areas: LLM's, RAG Delivering applied Machine Learning projects Time Series Modelling Recommender systems & models This is an opportunity to build real world AI tools that will be put More ❯

as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful APIs ensuring they are efficient, scalable, and secure • Experience with CI/CD pipeline setup and management. More ❯

Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-5 days More ❯

with a strong product lens. You value speed and scale over perfection. Highly autonomous. Experience building AI agents/agentic systems/architecture/RAG pipelines. Software engineering background. Experience developing and deploying production application layer products. Enjoy the buzz of startup life and want to work with high energy More ❯

thinking, this role was built for you. Your Responsibilities • Architect and own our full stack — backend to frontend, infra to AI. • Build a scalable RAG pipeline and deploy custom LLM workflows. • Prototype, fine-tune, and experiment with foundation models (OpenAI, Anthropic, etc.). • Build and maintain intelligent data ingestion systems More ❯

long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate change. Career Growth: Work with a founding More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

a real impact from day one. What You’ll Be Doing: Architecting and scaling production-ready AI systems focused on automation and insight Building RAG pipelines and intelligent agents that retrieve, summarise, and act on business-critical data Evaluating and integrating open-source, fine-tuned, and proprietary models to deliver More ❯

scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business More ❯

AI technologies (prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, controlled generation, etc.) Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models, Practical experience using More ❯

Elasticsearch, MongoDB or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) applications. Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms. More ❯

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 ❯

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 ❯

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 ❯