301 to 325 of 842 Retrieval-Augmented Generation Jobs in the UK

product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents. Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management. Excellent communication skills ...

data processing) and cloud computing platforms (AWS, Azure, or GCP). Hands-on experience with a range of AI concepts, such as LLMs, VLMs, RAG, Agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with machine learning frameworks (PyTorch, TensorFlow etc). Strong proficiency in software development (Python ...

Databricks, or SAP. Familiarity with the modern data stack and cloud data platforms across multiple hyperscalers. Comfort positioning AI solutions — Agentic AI, GenAI/RAG, MLOps, AI automation — to enterprise decision-makers. Experience with Database Managed Services or Infrastructure Managed Services sales cycles and pricing models. Background selling into $300M ...

understand what makes agents perform well in production and how to systematically improve quality through observability and evaluation. Experience with voice AI platforms, RAG systems, and LLM orchestration frameworks is highly desirable. You bring exceptional communication skills, customer empathy, and the drive to build AI solutions that transform enterprise operations … integration Proficiency in Python (production-grade, async programming, type hints) and JavaScript/TypeScript (full-stack development) RAG implementation experience built retrieval-augmented generation systems with vector databases MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud ...

model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents. Mentor data scientists and provide technical leadership through code reviews and coaching. Partner with engineering teams to deliver scalable … What we're looking for Extensive experience developing AI and machine learning solutions in production environments. Strong expertise in large language models, generative AI, RAG, prompt engineering, and agentic AI. Excellent Python programming skills and experience with modern AI and data science frameworks. Strong foundation in statistics, machine learning ...

methodologies and AI-native IDEs, covering positioning, workshop delivery, and customer engagement across the full lifecycleCreate best practices and architectural guidance on Next-Generation Software Development, being a thought leader on the area. Be the technical reference on Next-Gen Development for the EMEA Partner Organization, collecting … microservices, or language/framework upgrades- Knowledge of generative AI foundations: large language models, prompt engineering, context engineering, retrieval augmented generation (RAG)- Experience enabling or developing partner ecosystems (system integrators, ISVs, consulting firms)- Familiarity with IDE extensibility, developer tooling, and software supply chain practices ...

tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies. Experience integrating AI services into enterprise business applications. Experience within Manufacturing, MES, ERP, Industrial … opportunity to turn ideas into production reality. For the right individual, this role offers the opportunity to build the foundations that power next-generation AI capabilities across manufacturing solutions, working alongside experienced architects, product leaders, and engineers to shape the future of intelligent manufacturing software. DepartmentDevelopmentEmployment TypeFull TimeWorkplace ...

develop and implement enterprise AI solutions using technologies including Large Language Models, ChatGPT/OpenAI, Microsoft Copilot, Azure AI, Retrieval Augmented Generation (RAG) and UiPath. You'll also develop AI assistants, copilots and automated workflows, integrating AI into systems including ERP, CRM, PLM, SharePoint … have strong technical experience across Python, OpenAI APIs, Prompt Engineering, Azure OpenAI Services, Microsoft Copilot Studio, UiPath, Power Automate, REST APIs and RAG architectures, alongside experience integrating technology into enterprise systems. You'll also be a strong communicator who can translate complex AI concepts for non-technical audiences, work effectively ...

advantageous: Microsoft Azure/Azure AI Microsoft Copilot/Copilot Studio Azure OpenAI OpenAI APIs Python PowerShell Power Automate Machine Learning RAG (Retrieval-Augmented Generation) AI agents and automation API integrations Microsoft 365 Cybersecurity and AI governance What's on Offer? Salary ...

partnership with cross‐functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval‐augmented generation, tool and function calling, agentic workflows, multi‐agent orchestration, and related evaluation and safety patterns Familiarity with agentic building blocks ...

platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams. You will design and oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance, and #J ...

looking for Strong experience delivering AI solutions within Financial Services Hands-on Python and modern AI framework expertise Experience with Generative AI, LLMs, RAG and AI agents Knowledge of Azure, AWS or GCP Experience taking AI solutions from concept into production Understanding of security, risk, compliance and responsible AI Strong ...

SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data-driven solutions in a production environment For Immediate interview consideration please contact ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems ...

work with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with ...

integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working ...

integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working ...

integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working ...

integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working ...

Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative ...

system design, application development, testing, and operational stability. Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals, and coding assistants. Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade ...