801 to 825 of 890 Retrieval-Augmented Generation Jobs in England

Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. … securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity ...

rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly … write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers ...

production LLM systems that deliver accurate, valuable outcomes for real users. You’ll be responsible for: Building and improving production LLM-driven systems , including RAG and agentic workflows. Developing high-quality, reliable and well-tested Python code. Designing and implementing evaluations (evals) that genuinely measure whether AI systems are improving. … ideally have: 4+ years' experience building production software. 2+ years' experience building production LLM applications. Strong hands-on experience with Python . Experience building RAG systems , LLM applications and/or AI agents. A strong understanding of how LLM systems work, including areas such as embeddings, prompting and model parameters ...

About Brain Co. Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy ...

Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency … such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar. Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures. Experience optimizing models for GPUs or specialized accelerators. Strong understanding of production ...

technical training), plus gain certifications Role Overview We are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. You will advise … with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response. Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools. Experience designing guardrails for autonomous systems, including least privilege, approval ...

technical and non-technical training), plus gain certifications Role OverviewWe are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems.This is a cyber security consulting role with an AI focus. You will … frameworks.Experience with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response.Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools.Experience designing guardrails for autonomous systems, including least privilege, approval workflows ...

side — and to represent the discipline externally.DESIRABLE (NOT REQUIRED)Hands-on experience building AI-driven or adaptive learning systems.Familiarity with LLM architectures, retrieval-augmented generation, evaluation harnesses or learning analytics pipelines.Experience across multiple client or product contexts — for example consulting, agency or platform settings ...

human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape---foundation models, agentic AI, retrieval-augmented generation, fine-tuning---and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred ...

13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Primary Skill - RAG & Agentic GenAI Engineering Secondary Skill - Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards … Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services Work across the full SDLC pipeline (design, development, testing, CI/CD, deployment, and maintenance) Collaborate with cross-functional teams ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

benchmark suites, LLM-as-judge and playability pass/fail checks, and show output quality improving over time. Own the economics: tiered model routing, RAG/templates, caching, small-model distillation. What you bring Have shipped text-to-game or AI game-creation tech (Rosebud, Bitmagic, Astrocade, Websim, Roblox Cube … → validation → repair → eval, with benchmark suites, LLM-as-judge and playability pass/fail checks. Know the economics cold: tiered model routing, RAG/templates, caching, small-model distillation - have cut cost per generation 10x somewhere. Strong enough engineer to live in the runtime too: Three.js ...

tone alignment with The Economist's editorial voice; Design, curate, and manage fine-tuning datasets, including versioning and annotation workflows; Build and evaluate RAG pipelines incorporating retrieval from structured content; Prototype and test text-to-speech pipelines for audio-first products; Collaborate with infrastructure, frontend, and design leads … quality evaluation pipelines, including BLEU, ROUGE, editorial scoring, custom evaluations, and human-in-the-loop feedback loops; Support product experiments involving real-time generation, summarisation, or personalisation; Partner with journalists and editors to develop evaluation metrics capturing The Economist's tone and style. Требования 3+ Years of experience ...

fast-growing function from an early stage. The Role You will: Build and fine-tune LLM-powered applications and services Develop and optimise RAG pipelines Deliver style and tone modelling solutions to improve LLM outputs Support personalisation, summarisation, and real-time generation initiatives Work closely with product, engineering ...

team to join the bank with specific AI related skills. Key criteria: Experience in AI-driven and AI-assisted testing, including GenAI, RAG-based systems, intelligent automation, and tools such as GitHub Copilot, Amazon Q, and Cursor AI. Experience in innovation and PoCs, particularly in AI-led test generation ...

team to join the bank with specific AI related skills. Key criteria: Experience in AI-driven and AI-assisted testing, including GenAI, RAG-based systems, intelligent automation, and tools such as GitHub Copilot, Amazon Q, and Cursor AI. Experience in innovation and PoCs, particularly in AI-led test generation ...

platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power agents that deliver real impact for enterprise customers. You will: Own large areas of platform end to end, driving components … through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data ...

global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. … environment Experience leading ambiguous, zero-to-one product initiatives. Systems thinking across workflows, integrations, constraints, and execution layers Comfortable working with LLMs, agent frameworks, RAG, evaluation frameworks or ML systems Experience collaborating with data and analytics teams, ideally including exposure to ML-driven initiatives Strong commercial instincts and ability ...

role will shape target-state architecture, reusable patterns, and technical standards across the platform, with a particular focus on production-grade AI and RAG systems, data architecture, integrations, security, and Azure cloud infrastructure. Success will require strong architectural judgement and hands-on engineering expertise to create solutions that are scalable … prototypes and production-quality solutions in Python and TypeScript, reviewing code, and resolving complex technical challenges. Design production-grade AI architectures across LLM/RAG, retrieval, agentic workflows, evaluation, guardrails, tool calling, observability, and cost/latency optimisation. Define reference architectures, reusable patterns, and technical standards across applications ...

that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills …/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior ...

building and taking AI solutions into production, working predominantly with Python, React and AWS . The work will include building applications using LLMs , developing RAG pipelines , working with AI agents/agentic workflows , and integrating AI capabilities with existing applications and data. What we're looking for Strong Python development … experience Hands-on experience building Generative AI/LLM applications Experience with RAG pipelines Understanding of AI agents/agentic workflows AWS experience Experience taking applications into production You'll need to be comfortable working closely with both technical and business teams, and able to take fairly open-ended problems ...

Integrate agents and applications with existing client platforms using Microsoft Graph, REST APIs and Azure services Design solutions involving knowledge retrieval, RAG, document processing and autonomous workflows Advise clients on AI security, governance, identity and deployment considerations Contribute to technical documentation, development standards and solution architecture Work across … Platform , particularly Power Automate and Power Apps Microsoft 365 Copilot and the wider M365 ecosystem Microsoft Foundry/Azure AI services Azure AI Search, RAG and generative AI solutions Conversational AI, agentic AI and autonomous workflows Microsoft Graph and REST API integrations Dataverse, SharePoint and Teams Entra ID, app registrations ...

Integrate agents and applications with existing client platforms using Microsoft Graph, REST APIs and Azure services Design solutions involving knowledge retrieval, RAG, document processing and autonomous workflows Advise clients on AI security, governance, identity and deployment considerations Contribute to technical documentation, development standards and solution architecture Work across … Platform , particularly Power Automate and Power Apps Microsoft 365 Copilot and the wider M365 ecosystem Microsoft Foundry/Azure AI services Azure AI Search, RAG and generative AI solutions Conversational AI, agentic AI and autonomous workflows Microsoft Graph and REST API integrations Dataverse, SharePoint and Teams Entra ID, app registrations ...

prompts fewshot patterns and safety guardrails Experience with Azure services AI Search OpenAIOSS model deployments Functions Storage Key Vault Event GridService Bus Knowledge of RAG design chunking strategies embeddings hybrid search rerankers Proficient in CICD IaC observability and cost optimization for LLM workloads Job Description Role Overview We are seeking … instructions and few shot examples for LLM powered copilots Apply grounding using enterprise data Dataverse SharePoint APIs Work with hybridvector retrieval and RAG patterns where required Graph API Implement secure integration with Microsoft Graph API to access and manipulate M365 users groups Mail calendar Files drives Teams channels ...