51 to 75 of 313 AI Agents Jobs in the UK excluding London

enhanced reasoning, predictive analytics, KPI models, fault correlation models, and closed-loop decision support capabilities. Key Responsibilities Design and develop LLM-based and agentic AI solutions for autonomous network operations. Build RAG frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge. … AI/ML engineering, data engineering, software engineering, or applied machine learning. Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems. Strong Python programming skills. Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures. Experience using LangChain, LangGraph, LlamaIndex, AutoGen ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous … manual processes slowing companies down. Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understands their org, takes action across systems, and gets smarter over time. We've raised $29M, backed by Thrive Capital (investors in OpenAI ...

AI Engineer Newcastle upon Tyne Up to £100,000 + Benefits We're partnering with an engineering-led technology business in Newcastle that's developing advanced AI solutions to support the UK's defence and national security sector. Their team is made up of curious, collaborative … high-quality software. A solid understanding of machine learning algorithms and AI fundamentals. Experience with one or more of the following: Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Edge AI Multi-modal AI AI explainability AI ...

AI and Automation Analyst Vinarchy - Bristol (hybrid) About this Opportunity Vinarchy is redefining wine as a newly formed global wine company, bringing together the heritage, scale and ambition of Accolade Wines and Pernod Ricard Winemakers. As part of our continued global integration, we are expanding our AI … Implementing AI assisted use cases such as content generation, summarisation, classification, decision support and workflow augmentation Configuring and supporting AI agents and AI enabled workflows within defined architectural and governance standards Translating business requirements into functional designs and working solutions Developing and supporting ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will … production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI ...

analytical work of the directorate. Lead the FSSR automation and innovation agenda, including the development and adoption of AI‐enabled tools and agents to improve efficiency and analytical capability. Embed best practices in coding, modelling and documentation across divisions in the area. Embed AI principles … Databricks preferred), DevOps practices and API‐driven architectures. Experience with large language models (LLMs), generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques ...

driven process automation at scale. The AI Solutions Engineer is accountable for designing, building and deploying AI‐powered agents and automated workflows across critical business processes. Operating at the intersection of engineering, AI and operations, you'll work directly with business teams … solutions and bridge the gap between AI capability and real‐world business impact. Key Responsibilities Design, build and deploy AI agents capable of executing multi‐step business workflows Integrate agents with key enterprise systems and ensure solutions are secure, governed and production‐ready Translate ...

across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will … production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI ...

Lead also plays a key role in modernising GRC practices through the use ofautomation and AI‐enabled tools, including AI agents to supportrisk assessments and security awareness programmes. Main Responsibilities as Information Security GRC Lead: Lead and manage the Information Security GRC function, ensuring effective … security awareness, behaviour change initiatives, and insider risk considerations. Drive the use of AI enabled capabilities within GRC, including:AI agents to support and streamline risk assessments,AI assisted analysis of control effectiveness and risk trends, andAI enhanced security awareness and training programmes. ...

Copilot solutions. Translate complex business needs into scalable solution designs utilizing Copilot Studio and the Power Platform. Develop and configure AI Agents within Microsoft Copilot Studio and the wider ecosystem, focusing on topics, prompts, and conversational workflows. Integrate applications with enterprise data repositories, including Microsoft 365, SharePoint … confirmed at the earliest opportunity. Skills & Expertise Mandatory Skills: Power Platform (Power Apps, Power Automate, Power Pages) Key Tools & Specializations: Microsoft Copilot Studio Agentic AI & Conversational Agents Power Platform Ecosystem AI Builder Enterprise AI Integration Generative AI Solution Design Randstad Technologies ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

Agentic AI Lead What you become a part of This role is accountable for enabling agentic AI to deliver measurable business outcomes at scale - while ensuring it is deployed in a controlled, trusted, and sustainable way. The role starts with defining the right problems: understanding … people actually work, challenging assumptions, and identifying where/if agentic AI can create real value. The focus is not on building technology, but on shaping the right opportunities, enabling responsible use, and evolving the capability into an Agentic AI Centre of Excellence over time. What ...

treatment, working with relevant teams to design and implement controls. LLM & Agentic Security Assess the specific risks introduced by large language models and agentic AI systems, including prompt injection, jailbreaking, indirect prompt injection via external data sources, and unintended tool invocation. Evaluate agentic workflows for excessive permissions, insufficient … Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions ...

Join us at Barclays as a Product Engineer - M365 Unified Collaboration & Gen AI, where you will provide technical leadership within a team responsible for delivering innovative collaboration, productivity, and AI-enabled solutions across the organisation. This role requires a highly experienced engineering leader who can define … technologies across the Microsoft ecosystem. To be successful as a Product Engineer - M365, you must have the following essential skills: Copilot, AI Agents & Power Platform Engineering – Architecture and leading a team to design and deliver M365 Copilot, Copilot Studio, AI agents, Power Apps, Power ...

Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day. You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight … bring high-quality agents to life. Be a trusted advisor to our customers and drive their AI strategies. Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved. Drive execution and delivery of multiple complex, high ...

integrating LLMs and building AI-powered features in real-world applications. Experience with prompt engineering, retrieval-augmented generation (RAG) architectures or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude and Cursor. Strong experience with Azure cloud … regular social events, Pizza Fridays and a relaxed dress code. Interested? If you are excited by AI-assisted development, LLMs and autonomous agents, and want to build production solutions with these technologies rather than simply talk about them, we would love to hear from you. ...

YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow … AI platforms that power both operational and analytical data workloads. Leveraging hyperscale cloud ecosystems (AWS, Azure, GCP), you will embed agentic AI capabilities, enabling systems that can reason, adapt, and act with minimal human intervention. We ENABLE intelligent cloud transformation– You will architect intelligent, hybrid ...

AI Engineer AI Tutoring Systems Location: UK Wide (Hybrid) Salary: £100,000+ We're partnering with an innovative organisation building next-generation AI tutoring systems designed to deliver personalised, real-time learning experiences at scale. They're looking for a hands-on AI … productionise cutting-edge AI capabilities. What We're Looking For Commercial experience building complex LLM-based systems. Strong prompt engineering and agentic AI experience. Excellent Python and software engineering fundamentals. Experience working with cloud technologies and CI/CD. A strong product mindset with the ability ...

UKI.recruitment@tcs.com or call the TCS London Office on 020 3155 2100 . Please include the subject line: “Application Support Request” . Role: AI Architect Job Type: Permanent Location: Derby, UK Mode of Working: Office-based Working Hours: 40 hours per week (Full-time) Are you looking … tools and IDEs such as Cursor, GitHub Copilot, VS Code, AWS Kiro, or similar platforms. Strong understanding of prompt engineering, context management, and Agentic AI solutions. Experience implementing agent-based workflows and autonomous task execution models. Hands-on experience with SDLC platforms and tools such as Jira, GitHub ...