1 to 25 of 45 Remote Retrieval-Augmented Generation Jobs in London

AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis -leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it … Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable AI based applications, backend services and APIs (Deployment). Develop More ❯

AI agents, leveraging LLMs, reinforcement learning, vector databases, and autonomous systems . As a key AI strategy leader , you'll define the next-generation consumer experiences , enabling real-time merchant insights , AI-powered Ops automation , and cutting-edge chatbot capabilities . You will collaborate closely with executive leadership … making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory … Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A More ❯

systems for high-speed, accurate search functionality. • Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities. • Conduct experiments to measure and improve the performance of NLP models. • Build custom language models tailored to specific industry requirements. What 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define More ❯

scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define More ❯

documentation Build and deploy Agentic LLM-based solutions with LangGraph. Familiar with different multi agent system patterns Build and deploy LLM-based solutions using RAG Design and optimise APIs using Python and Flask to serve AI solutions. Deploy and manage AI applications on Vertex and other Google Cloud Platform (GCP 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 ❯

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 ❯

stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or 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 ❯

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 ❯

Scikit- learn Deliver and test AI/ML pipelines that can be deployed into a cloud environment DevOps/MLOps practices LangChain, Llama, LLMs RAG Systems Co Pilot/Gen AI Details- 6 month contract Outside IR35 £(Apply online only)p/d Fully remote Please note all applicants must 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 ❯

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 ❯

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 More ❯

run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise prompts, retrieval-augmented-generation (RAG) chains and guard-rails to meet healthcare compliance standards (GDPR, ISO 27001, NHS DSPT). . Define a repeatable training pipeline 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 ❯

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 ❯