26 to 50 of 961 Retrieval-Augmented Generation Jobs in England

Solutions* Design, develop and deploy enterprise-grade AI products and services.* Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.* Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.* Develop reusable AI frameworks, accelerators and engineering standards.Engineering … Python and modern software engineering practices.* Experience with Large Language Models (LLMs) and Generative AI.* Agent frameworks and orchestration technologies.* Retrieval Augmented Generation (RAG) architectures.* API development and microservice design.* Cloud-native development (Azure preferred).* CI/CD automation and MLOps practices.* Vector ...

Build AI SolutionsDesign, develop and deploy enterprise-grade AI products and services.Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.Develop reusable AI frameworks, accelerators and engineering standards.Engineering ExcellenceLead technical … without formal management responsibility.Technical SkillsPython and modern software engineering practices.Experience with Large Language Models (LLMs) and Generative AI.Agent frameworks and orchestration technologies.Retrieval Augmented Generation (RAG) architectures.API development and microservice design.Cloud-native development (Azure preferred).CI/CD automation and MLOps practices.Vector databases and knowledge retrieval ...

SolutionsDesign, develop and deploy enterprise-grade AI products and services. Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities. Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms. Develop reusable AI frameworks, accelerators and engineering standards. Engineering … Technical SkillsPython and modern software engineering practices. Experience with Large Language Models (LLMs) and Generative AI.Agent frameworks and orchestration technologies. Retrieval Augmented Generation (RAG) architectures. API development and microservice design. Cloud-native development (Azure preferred).CI/CD automation and MLOps practices. Vector databases ...

Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate: up to £800 inside IR35 via umbrella The Opportunity We're looking for an experienced … business teams to deliver innovative AI solutions. Essential Skills & Experience Commercial experience building Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications ...

Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate: up to £800 inside IR35 via umbrella The Opportunity We're looking for an experienced … business teams to deliver innovative AI solutions. Essential Skills & Experience Commercial experience building Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications ...

emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate, you will combine strong hands‐on technical expertise with the ability … implementing Artificial Intelligence (AI) capabilities within operational environments, including familiarity with Large Language Models (LLMs), Generative AI, AI agents, and Retrieval‐Augmented Generation (RAG) concepts. Strong knowledge of system integration techniques, REST APIs, authentication mechanisms, and alert‐driven architectures. Experience translating business and operational ...

portions of our AI agent infrastructure , from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines , and evaluation frameworks . You will be responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure … deliver high-impact features. Ensure scalability, performance, and security across the stack. Develop and deploy AI-powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous ...

enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU’LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within GCP Engineering data platforms …/Python/SQL/Kafka/AI/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/ ...

enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU'LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within GCP Engineering data platforms …/Python/SQL/Kafka/AI/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/ ...

Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker and deploying containerised, cloud-native tools. Experience with advanced retrieval-augmented generation techniques, including: TAG (Tool-Augmented Generation) – integrating external tools to enhance generation capabilities. … Context-Aware Generation) – leveraging dynamic context to improve relevance and coherence. GraphRAG (Graph-Augmented Retrieval-Augmented Generation) – utilizing graph-based structures to enrich retrieval and reasoning. This will include the competencies Stakeholder engagement: Works with cross-functional teams ...

operate reliably in production investment environments.Continuously evaluate and integrate emerging frameworks in multi-agent coordination, retrieval-augmented generation (RAG), and prompt design.Fuse AI and Research:Partner with fundamental and quantitative investors to identify high-value opportunities for AI-enabled automation and augmentation.Translate complex investment … LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.Experience with advanced retrieval-augmented generation and multi-agent systems.Certifications such as:Databricks Certified Generative AI Engineer AssociateSnowPro Specialty: Gen AIAWS Certified Machine Learning Engineer ...

will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes.Job responsibilitiesArchitect, develop, and productionize … definition, tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph.Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation.Build and integrate agent tools ...

will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes. Job responsibilitiesArchitect, develop … tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools ...

will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes. Job responsibilities Architect, develop … tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools ...

Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands … intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director ...

Language Models (LLMs) and modern AI frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel … such as n8n, Power Automate, Dify or similar.Knowledge of vector databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring frameworks.Experience working within a regulated ...

Language Models (LLMs) and modern AI frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel … such as n8n, Power Automate, Dify or similar.Knowledge of vector databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring frameworks.Experience working within a regulated ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationSchema validation and structured data handlingAI-assisted developmentUse of AI-assisted and agentic development tools … over context, call tools, and perform actions under guidance from senior engineers.Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationSchema validation and structured data handlingAI-assisted developmentUse of AI-assisted and agentic development tools … over context, call tools, and perform actions under guidance from senior engineers.Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationSchema validation and structured data handlingAI-assisted developmentUse of AI-assisted and agentic development tools … over context, call tools, and perform actions under guidance from senior engineers.Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring ...

Machine Learning solutions.Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures.Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives.Provide deep expertise in model … leadership and executive collaborators.TECHNICAL EXPERTISEExtensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale.Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.Good ...

Machine Learning solutions. Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures. Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives. Provide deep … executive collaborators. TECHNICAL EXPERTISEExtensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures. Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality ...

Machine Learning solutions**.* Drive innovation in **Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures**.* Define the technical vision for AI products, ensuring solutions are **scalable, secure, maintainable, and aligned with business objectives … .## TECHNICAL EXPERTISE* Extensive experience designing, building, and deploying **production-grade AI and Machine Learning solutions** at scale.* Deep expertise in **LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures**.* Hands-on experience with **LLM evaluation, benchmark design, model validation, prompt engineering, guardrails ...

platforms (e.g., Google Cloud Platform (GCP)).Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions.Experience leading technical discovery sessions with customers.Active, or the ability to obtain, a Security Check … platforms (e.g., Google Cloud Platform (GCP)).Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions.Experience leading technical discovery sessions with customers.Active, or the ability to obtain, a Security Check ...

platforms (e.g., Google Cloud Platform (GCP)).Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Active, or the ability to obtain … platforms (e.g., Google Cloud Platform (GCP)).Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Active, or the ability to obtain ...