501 to 525 of 876 Retrieval-Augmented Generation Jobs in the UK

will play a key role in shaping how AI, agents, data, and ontology-driven business context become foundational capabilities across the next generation of Infor Manufacturing solutions. A Typical Day in the Life Includes: Defining the AI architecture, standards, and technical strategy for MES and the Manufacturing portfolio. … practices and technologies. Proven experience designing and delivering production AI solutions using Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), agentic architectures, AI orchestration frameworks, and tool-based AI systems. Experience integrating AI capabilities into enterprise software products. Experience designing APIs ...

services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt engineering and orchestration techniques. Develop Python-based services, APIs and automation scripts to support AI products. Use Power BI to develop ...

scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What we can offer you We work hard to have a positive ...

meaningful way, whether for security testing, security research, or your own workflows Enough understanding of how LLMs work (context windows, tool use, RAG, agentic chaining) to reason about where they can go wrong Familiarity with AI testing tools or frameworks, even from personal research or experimentation, is a real plus ...

/AI, guiding customers and the Field Engineering team to design production‐grade AI solutions on the Databricks platform. You will drive GenAI initiatives, RAG architectures, agentic systems, AI observability, and NLQ of structured data, while mentoring peers and influencing the platform roadmap. Some travel may be required. #J ...

across ML delivery, backend services, and cloud-native platforms on AWS, applying modern engineering practices and secure coding standards. You will lead development of RAG pipelines, tool-using agents, and evaluation frameworks, partnering with cross-functional teams to drive impactful AI-enabled business workflows while ensuring #J-18808-Ljbffr ...

Science, Machine Learning, Data Science, or a related field Have impactful industry experience building GenAI-focused applications with technologies including Agents, reasoning models, and RAG Have high-level familiarity with the architecture and operation of large language models Have personally implemented models in PyTorch, Jax, or TensorFlow Have a strong ...

experience driving cloud/AI transformation within Insurance, Financial Services, or similarly highly regulated industries. Technical Acumen: A strong architectural understanding of GenAI concepts (RAG, AI Agents, Agentic Workflows) and DevSecOps automation. Delivery Mastery: Expertise in benefits management, project planning, and crisis mitigation for large-scale enterprise deployments. To Apply ...

experience driving cloud/AI transformation within Insurance, Financial Services, or similarly highly regulated industries. Technical Acumen: A strong architectural understanding of GenAI concepts (RAG, AI Agents, Agentic Workflows) and DevSecOps automation. Delivery Mastery: Expertise in benefits management, project planning, and crisis mitigation for large-scale enterprise deployments. To Apply ...

experience driving cloud/AI transformation within Insurance, Financial Services, or similarly highly regulated industries. Technical Acumen: A strong architectural understanding of GenAI concepts (RAG, AI Agents, Agentic Workflows) and DevSecOps automation. Delivery Mastery: Expertise in benefits management, project planning, and crisis mitigation for large-scale enterprise deployments. To Apply ...

Desirable Skills & Experience Microsoft certifications (PL-200, PL-400, PL-600) Experience with Copilot Studio or conversational AI Knowledge of Azure OpenAI/RAG solutions Familiarity with Dataverse, Graph, or enterprise systems Exposure to monitoring and observability tools Interest in emerging technology and innovation Familiarity of AI/Copilot capabilities ...

latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling). Ability to juggle token ...

productive faster. Bonus points Previously founded a company. Startup experience. Design tooling literacy (Figma), or a design background. Experience with LLM-backed product features: RAG, embeddings, evaluation. Go, or a willingness to learn it. It's what most of our backend is written in. Data or analytics engineering experience (Python ...

Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider pipelines. ...

equivalent experience Technical Skill Set Data Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governance AI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperability Salesforce Platform: Data 360, Agentforce, Agent Builder - deep architectural fluency Integration/BI: MuleSoft, hyperscaler SDKs, Tableau ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments ...

plusDegree or equivalent experienceTechnical Skill SetData Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governanceAI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperabilitySalesforce Platform: Data 360, Agentforce, Agent Builder — deep architectural fluencyIntegration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/ ...

build the right thing, not just a technically impressive thing. Technical foundations that match your level: For senior hires, your toolkit includes Python, RAG, API integrations, and agent architecture. For mid-level hires, your learning trajectory and intellectual curiosity matter as much as your current depth. Communication that bridges ...

build the right thing, not just a technically impressive thing. Technical foundations that match your level: For senior hires, your toolkit includes Python, RAG, API integrations, and agent architecture. For mid-level hires, your learning trajectory and intellectual curiosity matter as much as your current depth. Communication that bridges ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been a founder, founding team member, or operator you know how to balance craft, ownership ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production — hands‐on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. You've been a founder, founding team member, or operator — you know how to balance craft, ownership ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been a founder, founding team member, or operator you know how to balance craft, ownership ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been a founder, founding team member, or operator you know how to balance craft, ownership ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been a founder, founding team member, or operator you know how to balance craft, ownership ...

outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been a founder, founding team member, or operator you know how to balance craft, ownership ...