51 to 75 of 96 Retrieval-Augmented Generation Jobs in England

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 ❯

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 ❯

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 ❯

with a strong product lens. You value speed and scale over perfection. Highly autonomous. Experience building AI agents/agentic systems/architecture/RAG pipelines. Software engineering background. Experience developing and deploying production application layer products. Enjoy the buzz of startup life and want to work with high energy More ❯

with a strong product lens. You value speed and scale over perfection. Highly autonomous. Experience building AI agents/agentic systems/architecture/RAG pipelines. Software engineering background. Experience developing and deploying production application layer products. Enjoy the buzz of startup life and want to work with high energy 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 ❯

long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate change. Career Growth: Work with a founding More ❯

long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate change. Career Growth: Work with a founding More ❯

you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with 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 ❯

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 ❯

Programming . Proven experience in Python and Data Science. Strong experience in using Python Data structures. 1+ years of strong experience in GEN AI RAG Models. Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes. Understanding the key metrics for validation of the models such … Candidates should be able to effectively communicate by telephone, email, and face-to-face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in More ❯

a real impact from day one. What You’ll Be Doing: Architecting and scaling production-ready AI systems focused on automation and insight Building RAG pipelines and intelligent agents that retrieve, summarise, and act on business-critical data Evaluating and integrating open-source, fine-tuned, and proprietary models to deliver More ❯

a real impact from day one. What You’ll Be Doing: Architecting and scaling production-ready AI systems focused on automation and insight Building RAG pipelines and intelligent agents that retrieve, summarise, and act on business-critical data Evaluating and integrating open-source, fine-tuned, and proprietary models to deliver 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 ❯

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 ❯

scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business More ❯

scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business 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 ❯

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 ❯

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 apply best … 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 ❯

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 ❯

Elasticsearch, MongoDB or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) applications. Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms. 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 ❯