76 to 100 of 113 Retrieval-Augmented Generation Jobs in London

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 ❯

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 ❯

experience working with multinational customers in support of technology sales. An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. Professional experience architecting/operating solutions built on AWS, Google Cloud or MSFT Azure. Excellent communication and presentation skills, able to More ❯

the value of an organization's back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to More ❯

Previous experience in AI powered enterprise/B2C SaaS environment and product. Familiarity with low-code/no-code AI tools, vector databases, or RAG workflows. Experience launching AI-powered features or agent-led automation tools. Background as a software engineer or technical role Please reach out for more information More ❯

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 More ❯

the value of an organization's back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to More ❯

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 More ❯

L&D LEAP team DESCRIPTION Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence … experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation Knowledge of RAG and its applications Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications Knowledge of prompt engineering Experience with AWS technologies More ❯

Natural Language Processing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search). Strong business acumen and consulting skills to identify and analyze problems, formulate hypotheses. Critical thinking and attention to detail, with … in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment and encourage applications from underrepresented More ❯

Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a …/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value More ❯

AI features hastily bolted on! We make use of the best techniques (fine tuned open source models, tool use, and retrieval augmented generation) and as a result, users send 53% of the email drafts we generate. How has it been going? Since launching in More ❯

for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and … with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine More ❯

Interim Senior AI Engineer – GenAI/RAG, Financial Services 6-Month Contract We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's … time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows More ❯

Interim Senior AI Engineer – GenAI/RAG, Financial Services 6-Month Contract We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's … time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows 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 ❯

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 AWS Data Engineer 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 ❯

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 More ❯

About the role Skills : Python, FastAPI, NextJS, React, TypeScript, Cloud Infrastructure (GCP/AWS/Azure), AI/ML frameworks We've built a RAG-based AI platform that's revolutionizing how people create presentations, but our success is outpacing our infrastructure. We need a talented senior engineer who can … GCP preferred) and infrastructure automation Ability to design and implement scalable, production-grade systems Nice to have Experience with AI frameworks (LangChain, Llama Index, RAG-based systems) Knowledge of vector databases (PGVector) and PostgreSQL optimization Familiarity with SVG and 2D graphics development Previous experience in fast-paced startup environments Tech More ❯

About the role Skills : Python, FastAPI, NextJS, React, TypeScript, Cloud Infrastructure (GCP/AWS/Azure), AI/ML frameworks We've built a RAG-based AI platform that's revolutionizing how people create presentations, but our success is outpacing our infrastructure. We need a talented senior engineer who can … GCP preferred) and infrastructure automation Ability to design and implement scalable, production-grade systems Nice to have Experience with AI frameworks (LangChain, Llama Index, RAG-based systems) Knowledge of vector databases (PGVector) and PostgreSQL optimization Familiarity with SVG and 2D graphics development Previous experience in fast-paced startup environments Tech More ❯

conclusions in a data-driven manner. Developing scalable and novel ways to personalize LLMs based on information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve … for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of transformer models and their common variants, loss More ❯

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 More ❯

generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies. Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data … Along: 8+ years of experience in designing and architecting enterprise-level solutions. An understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and More ❯