151 to 175 of 175 Retrieval-Augmented Generation Jobs in London

Already live with its first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems, and take ownership … deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast, hands-on, pragmatic, collaborative Excited by early-stage start-up life More ❯

Already live with its first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems, and take ownership … deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast, hands-on, pragmatic, collaborative Excited by early-stage start-up life More ❯

teams reach high-intent buyers through hyper-personalised, multi-channel campaigns. We’re building an AI-first platform from the ground up, with LLMs powering everything from content generation to strategic recommendations. We’re looking for hands-on AI Fullstack Product Engineers who’s excited to build, ship, and fully own production-grade AI features. You’ll have … ll be responsible for architecting and shipping AI-powered features using tools like PydanticAI, LangGraph, FastAPI, and OpenAI/Anthropic APIs. You’ll build and orchestrate intelligent agents and RAG pipelines, moving quickly to prototype, test, and launch in days, not months. Working closely with product, design, and go-to-market teams, you’ll build features that solve real customer More ❯

teams reach high-intent buyers through hyper-personalised, multi-channel campaigns. We’re building an AI-first platform from the ground up, with LLMs powering everything from content generation to strategic recommendations. We’re looking for hands-on AI Fullstack Product Engineers who’s excited to build, ship, and fully own production-grade AI features. You’ll have … ll be responsible for architecting and shipping AI-powered features using tools like PydanticAI, LangGraph, FastAPI, and OpenAI/Anthropic APIs. You’ll build and orchestrate intelligent agents and RAG pipelines, moving quickly to prototype, test, and launch in days, not months. Working closely with product, design, and go-to-market teams, you’ll build features that solve real customer More ❯

and verifiable in our product, whether that’s code or more unstructured outputs. We have frameworks for evaluation, verification, specialized code and test generation pipelines, agentic behavior, RAG, observability and orchestration tooling, and many more... all widely used across our product, neatly integrated, and informed by real customer and product needs. Each of these are constantly evolving to … necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You have a fundamental understanding of code analysis, compilers, domain-specific languages, or related topics, and are keen to learn in this area. You are More ❯

and verifiable in our product, whether that’s code or more unstructured outputs. We have frameworks for evaluation, verification, specialized code and test generation pipelines, agentic behavior, RAG, observability and orchestration tooling, and many more... all widely used across our product, neatly integrated, and informed by real customer and product needs. Each of these are constantly evolving to … necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You have a fundamental understanding of code analysis, compilers, domain-specific languages, or related topics, and are keen to learn in this area. You are More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The expected salary range for this position is: Annual Salary: £250,000-£340,000 GBP Logistics Education requirements: We require at least More ❯

principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user More ❯

principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user More ❯

As our GTM Manager - London you will focus on the identification and generation of new business opportunities across UK. You will contribute to BRYTER's growth directly by aligning and reinforcing the value of the BRYTER product suite to the customer's overall business plan and strategic objectives and decision criteria. In this role you will be an … Technology: You'll be at the forefront of tech, working with advanced AI models, including large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, gaining hands-on experience with the latest innovations. High-impact role : Your contributions will directly shape BRYTER's growth and success. Collaborative and innovative team : Join a company with More ❯

Technology: You'll be at the forefront of tech, working with advanced AI models, including large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, gaining hands-on experience with the latest innovations. High-impact role: Your contributions will directly shape BRYTER's growth and success. Collaborative and innovative team: Join a company with More ❯

platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI More ❯

platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI More ❯

platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

the join the R&D team and design, test and refine prompts , clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools. What You'll Do Work across LLM design, structured data integration … Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data). Exposure to RAG architectures and vector stores (such as FAISS, Pinecone.....). The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

solve mission-critical business challenges. Our suite of development tools is powered by Palmyra - Writer's state-of-the-art family of LLMs - alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves … Your responsibilities Deliver against aggressive but attainable sales targets to continue building and developing Writer's success with enterprise customers Establish and iterate on sales processes, including lead generation, qualification, pipeline management, POC oversight, and forecasting, to drive consistent and predictable results. Hire and develop top sales talent aligned with our connect/challenge/own company values More ❯

our agent framework Lead engineering team post-seed Shape product vision and strategy Qualifications: Insatiable desire to build the future & create a highly impactful products Deep expertise in LLMs, RAG, and production ML Experience with agent architectures and fine-tuning Strong API integration skills Builder mentality - you ship fast and iterate Previous startup experience preferred Excited to solve hard technical More ❯

our agent framework Lead engineering team post-seed Shape product vision and strategy Qualifications: Insatiable desire to build the future & create a highly impactful products Deep expertise in LLMs, RAG, and production ML Experience with agent architectures and fine-tuning Strong API integration skills Builder mentality - you ship fast and iterate Previous startup experience preferred Excited to solve hard technical More ❯

something like: 5+ years of relevant engineering experience at tech and product-driven companies. Experience shipping LLM-based solutions to production. Experience with inference and evaluation platforms. Experience with RAG, semantic search, vector stores, embeddings. Experience building features end-to-end with TypeScript, React.js, and Node.js. Ability to thrive in a fast-paced startup environment with evolving requirements and priorities. 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 ❯

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 ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯