1 to 25 of 28 Permanent Retrieval-Augmented Generation Jobs in the South East

About Quantum: Quantum is building next-generation AI and trading technologies that harness cutting-edge research and data science. As part of our rapid growth, we are seeking a highly skilled Senior Data Engineer to support our Data & AI team by designing and maintaining robust, scalable, and production … quality, developing validation frameworks, and contributing to continuous data improvement initiatives. Collaboration with AI Teams: Work closely with the Principal Data Scientist to operationalise RAG systems, fine-tune data retrieval processes, and optimise training datasets for AI model development. Automation and Optimisation: Automate ETL (Extract, Transform, Load) processes … Dask. Familiarity with MLOps and deploying AI/ML models into production environments. Knowledge of Retrieval-Augmented Generation (RAG) frameworks or interest in learning and supporting RAG systems. Experience implementing scalable APIs and integrating data services with AI and analytics platforms. Strong understanding of More ❯

into crafting and optimizing sophisticated AI pipelines. This involves extensive prompt engineering, building and refining Retrieval-Augmented Generation (RAG) systems, and developing agentic AI workflows that deliver powerful analytical capabilities to our users. Master the Domain: Immerse yourself in the world of financial analysis. … You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic, Gemini APIs; RAG, agent frameworks, prompt engineering). Showcasing this via a portfolio, open-source contributions (e.g., a GitHub repo), or detailed project walkthroughs is highly encouraged. Tinkerer More ❯

working with open-source LLMs (e.g., LLaMA, Mistral, DeepSeek, Qwen, etc.) Experience building and evaluating Retrieval-Augmented Generation (RAG) pipelines, including embedding models and vector search Familiarity with libraries such as Hugging Face Transformers for model development and integration Experience processing and extracting information 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 ❯

insight, integrity, and a passion for making things better. Role Overview We are looking for a Data Scientist with experience in RAG (Retrieval-Augmented Generation) , Agentic AI frameworks , and deep domain understanding of Finance/Savings platforms . This hybrid role (UK-based) is … ideal candidate thrives in complex environments and bridges the gap between data, automation, and user experience. Key Responsibilities AI-Driven Architecture: Design and implement RAG pipelines that enhance platform intelligence and content retrieval Agentic AI Integration: Develop and fine-tune autonomous agents for workflow automation, intelligent decisioning, and … Science, AI, Computer Science, or related quantitative field Experience: 5+ years in data science roles with platform/product experience 2+ years working on RAG implementations using tools like LangChain, LlamaIndex, or custom vector stores Experience building or deploying Agentic AI architectures (e.g., AutoGPT, CrewAI, OpenAgents) Strong grasp of CRM 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 ❯

platform app delivers vetted, evidence‐based answers to frontline clinicians in seconds. We combine large‐language models with rigorous retrieval‐augmented generation (RAG) pipelines so doctors can safely consult clinical guidelines at the bedside. You’ll join a small, product‐obsessed team that ships … evaluate ranking quality, and productionise LLM workflows on Google Cloud. What you’ll do Design & build backend micro‐services (Python/FastAPI) that power RAG pipelines, user queries, and analytics. Develop retrieval infrastructure : orchestrate embedding generation, vector databases (PGVector, Pinecone, Weaviate), and hybrid search. Implement evaluation 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 ❯

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 ❯

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 ❯

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 ❯

ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval-augmented generation, fine-tuning). Exposure to the likes of LangChain, OpenAI API, Anthropic Claude, Mistral, Groq, Cohere, vLLM or similar … it is not required. Role Overview: AI/ML Engineers: AI Innovation Team : You'll help build the technical backbone of this next-generation AI lab, contributing to everything from data pipelines and training infrastructure to the deployment of advanced AI systems and LLM-powered applications. We're 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 ❯

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 ❯

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 ❯

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 ❯

through practical experience Problem-solvers who enjoy exploring how AI can be applied in business contexts Nice-to-Haves Familiarity with AI prompt engineering, RAG and fine-tuning Technical curiosity and a self-directed learning mindset Prior involvement in research or product development is a plus More ❯

to be comfortable working at pace, have a product mindset and an ability to keep the customer front of mind. Essentials: TypeScript, React, Node.js, RAG Experience building AI agents. Have worked with LLMs – open source APIs is fine, but any training or fine-tuning experience will be a bonus. Have More ❯

models, machine learning techniques, and AI application design patterns. Practical AI Implementation - Experience with prompt engineering, model fine-tuning, RAG (Retrieval Augmented Generation) systems, and other techniques for optimising AI performance in practical applications. Software Development - Strong programming skills in Python, C++ or similar 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 ❯

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and 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 ❯

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 ❯

rate contract role focused on Generative AI projects, where you'll work alongside data scientists, engineers and product teams to help shape next-generation intelligent banking solutions. This is a rare opportunity to operate at the intersection of technology, data science, delivery and banking - ideal for a tech … AI/ML contexts Exposure to FastAPI, CICD pipelines, Gitmerge Ability to actively contribute to technically focused discussions with engineers Familiarity with GenAI concepts (RAG, chunking, prompt engineering, etc) Curiosity, adaptability and eagerness to straggle business and tech domains The role is paying £300-325/d on an inside More ❯