1 to 25 of 36 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 ❯

Technologies : Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts. Cross-Functional Collaboration : Partner with business stakeholders to understand objectives and translate them into actionable machine learning More ❯

Hands-on Experience with LLMs : Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG). Advanced Evaluation Techniques : Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics, ensuring the quality, relevance, and user 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 ❯

or security frameworks where required (e.g., healthcare, finance, defence). Facilitate integration of LLMs or Retrieval-Augmented Generation (RAG) pipelines, where applicable. Required Experience 2+ years as the primary Technical Project Manager for at least 2 software products shipped to production in the past More ❯

world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative AI technologies (e.g., LLMs, embeddings, RAG systems) Excellent communication skills and ability to engage senior stakeholders Nice to Have: Experience in consulting or client-facing delivery roles Knowledge of cloud platforms More ❯

CTO who excels in full-stack development and AI integration, particularly in Agentic AI and Retrieval-Augmented Generation (RAG), to spearhead an exciting digital transformation at Aura. This role requires a strong commercial, strategic, and business mindset to effectively guide technology choices aligned with … platforms to market. Proven hands-on full-stack development capabilities. Expertise in designing and implementing AI solutions, with specific experience in Agentic AI and RAG technologies. Extensive knowledge and hands-on experience with HubSpot CRM and integrations via automation platforms (Make, Zapier). Strong commercial acumen, strategic thinking abilities, and More ❯

needed Our client is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to 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 ❯

of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Mentor and guide other Data Science team members. More ❯

in linguistics , cognitive science , or human-computer interaction . Prior work in chatbot development , virtual assistants , or AI-driven user interfaces . Knowledge of RAG pipelines , vector databases , and semantic search . More ❯

Engage with stakeholders to understand needs and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other 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 ❯

maintaining production-grade models Strong communication skills with the ability to engage a wide range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI More ❯

with cloud services (AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Frontend: NextJS, Zustand, Tailwind, Prisma Python, FastAPI, Llama Index Database: PostgreSQL More ❯

AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite More ❯

Translate business needs into detailed technical workflows using LangGraph, ensuring agents interact via clear logic and shared state. Shape document-based GenAI solutions, including RAG pipelines, prompt engineering, and integration with internal APIs. Help orchestrate tools using OpenAI function calling, vector databases (e.g. Pinecone, Weaviate), and knowledge graphs. Collaborate on … users and engineering handover. Must-Have Skills Strong experience with LangChain, LangGraph, or equivalent multi-agent orchestration frameworks. Solid understanding of RAG (Retrieval-Augmented Generation) architecture, including chunking strategies, embeddings, and prompt design. Proven ability to define and coordinate agent interaction protocols, fallback logic More ❯

Qualifications: Experience working in regulated or compliance-heavy industries (e.g., legal, finance, healthcare). Familiarity with GenAI technologies (e.g., OpenAI, vector databases, prompt engineering, RAG pipelines). Experience scaling and leading global remote engineering teams. This is a rare opportunity to define and lead the technology behind the next wave 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 ❯

Machine Learning Engineer - RAG Experience - Founding Engineer Machine Learning Engineer Required for a well funded Start-Up building an innovative tool and knowledge management solution to save consultancies considerable time. You will be looking to work for an early stage Start-Up working with a small … but world class team and play a critical role with your Python, Machine Learning skills and ideally exposure to Retrieval Augmented Generation (RAG). This is a critical hire that will need to work closely with the founders. Any experience building products from inception … will be highly beneficial. Currently interviewing - please send CV for immediate review! Machine Learning Engineer - RAG Experience - Founding Engineer 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 ❯

growth venture. Have fun 🙂 Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value More ❯

product, and this will be through using LLM's and Computer Vision. The correct candidate will have a good understanding of LLM’s and RAG, and more importantly know how to measure and evaluate LLM's. What it offers: The opportunity to have build and deploy ML Models utilising LLM 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 ❯