1 to 25 of 27 AI Agents Jobs in Leeds

intelligent automation across Waystone while upholding compliance, security, and architectural integrity. The role requires strong hands‐on engineering skills, practical understanding of agentic AI patterns, and the ability to guide teams on effective and responsible AI usage. ESSENTIAL DUTIES AND RESPONSIBILITIES AI Enablement … individuals with disabilities to perform the essential functions. Knowledge, Skills and Abilities: Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding ...

covering resource structure, environments, deployment patterns, observability and operational management. Work closely with AI Engineers to design and deliver AI Agents and agentic workflows that meet business and technical requirements. Governance, Risk & Compliance Establish enterprise governance frameworks for AI workloads across Azure. Define … trust principles to AI workloads, APIs, data sources and platform services. Define identity, authentication and authorisation patterns for AI applications, agents and platform users. Ensure AI services are integrated into existing enterprise security and networking architectures. Scale, Resilience & Performance Design resilient, highly available ...

turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing … data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security, compliance ...

first, agentic software development model. You will lead this transition within your team, establishing ways of working where engineers and AI agents collaborate effectively across the software development lifecycle. How We Think About AI AI is a foundational part of modern software engineering … built in. AI-First & Agentic Engineering Lead adoption of AI-assisted and agentic engineering practices. Structure work so engineers and agents can deliver effectively together. Increase the proportion of development activity that can be safely automated. Establish automated validation and guardrails for AI ...

Enablement & Product Manager to play a key role in accelerating the adoption of Microsoft 365 Copilot, Copilot Studio and AI-powered agents across a major UK financial services organisation. This is an opportunity to sit at the intersection of business change, product management and emerging technology, helping … deliver real value. What You'll Be Doing * Lead discovery activities with business teams to identify opportunities where Microsoft Copilot and AI agents can improve productivity, decision-making, information management and operational effectiveness. * Challenge assumptions and help stakeholders define underlying business problems before recommending AI ...

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 workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic AI patterns and their implications for platform design, operations and governance You should apply if: You don’t need to tick every box on this … certifications demonstrating hands‐on fluency with leading AI platforms — for example Anthropic Claude Certified Architect (CCAR‐F or CCAR‐P), Microsoft Agentic AI Business Solutions Architect (AB‐100) or AI Agent Builder Associate (AB‐620), or equivalent credentials from other leading AI ...

agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic AI patterns and their implications for platform design, operations and governance You should apply if: You don't need to tick every box on this … certifications demonstrating hands-on fluency with leading AI platforms — for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic AI Business Solutions Architect (AB-100) or AI Agent Builder Associate (AB-620), or equivalent credentials from other leading AI ...

Senior IT Training Manager, you will play a vital role in advancing Addleshaw Goddard's strategic objectives by designing, developing and delivering specialist AI and IT training solutions. TheAI & Digital Training Specialist will develop the Firm's AI and digital capability by helping colleagues use approved … policies and controls. AI AGENT LEARNING & SUPPORT Design and deliver learning on the appropriate creation, configuration and use of AI agents within the Firm's approved environment. Provide hands‐on workshops, demonstrations, and coaching for colleagues developing agent skills. Help users define an agent ...

clients with EU AI Act, UK GDPR, DPIA, NIST AI RMF and ISO 42001 requirements. Threat-model GenAI and agentic AI systems. Assess risks including prompt injection, data leakage, excessive agency and tool-use escalation. Review AI architectures, guardrails, evaluations and security … frameworks, risk assessments, policies and controls. Practical understanding of how AI systems are built and secured. Good understanding of LLMs and agentic AI, including RAG, tool use and orchestration. Knowledge of AI security risks including prompt injection, data leakage and excessive agency. Strong understanding ...

apply as soon as you can. If you have any questions, please do contact the team at lloydsbankinggrouptalent@peoplescout.co.uk Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing … AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. ...

activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed. Job Description: AI & Automation Director SEO Reporting To Innovation Partner, SEO Purpose of the Role The AI & Automation Director will lead the development, adoption and delivery … teams. Key Responsibilities AI, Automation & Agent Development Design, build, test and deploy client and internal automation solutions. Develop AI agents and workflows that improve delivery efficiency, quality and effectiveness. Work with client delivery teams to review existing workflows and automate repetitive tasks using tools including ...

client is a digital consultancy. Senior AI Engineer - Microsoft Azure AI Foundry 12 Month Contract Who We Are Were on a mission to close the worlds tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI … evaluation, automated testing, and release gating. MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs. Developer Enablement - Create reusable developer templates, local execution environments, and self-service IaC modules to streamline onboarding ...

Data & AI Engineer Location: LeedsSalary: Competitive Salary + Package (dependent on experience) Career level: Specialist/ConsultantAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With … decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply if: You don't need ...

AI IT Trainer - Leeds - Up to £55K - Hybrid I am seeking an innovative and engaging AI IT Trainer to join a highly respected legal business based in Leeds. As organisations continue to embrace Artificial Intelligence and Microsoft Copilot technologies, this role will play a crucial part … context, define outcomes, improve responses and check output quality. Design and deliver learning on the appropriate creation, configuration and use of AI agents within the Firm's approved environment. Provide hands-on workshops, demonstrations, and coaching for colleagues developing agent skills. Deliver training and support for Microsoft ...

Leeds, United Kingdom | Posted on 02/25/2026 Responsibilities Design, develop, and maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies … accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible AI practices: guardrails, controls, monitoring, auditability Build observability: logging, telemetry, and LLM monitoring for quality and incident triage Create reusable assets - prompt ...

digital identity, architectures, and industry acronyms to guide requirements and product decisions. Identity Types: Covered across customer, workforce, and non-human identity (including Agentic AI).Security Methods and Patterns: Confident handling verification (GPG45), authentication (MFA), authorisation (RBAC/ABAC/PBAC), lifecycle management (JML), governance (IGA), SSO/ ...

combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production … with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns. Relevant certifications such as CISSP, CISM, GIAC, cloud security, cloud AI/data, or Neo4j Graph Data Science are advantageous ...

revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production machine learning models used to support pricing … measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring and deployment pipelines. Experience working within insurance, fintech, travel, ecommerce or other highly transactional ...

addresses technology, process, and structure to make a lasting impact. At Credera, you will work on diverse client projects, such as building modern, AI-enabled data platforms on AWS using DevOps and MLOps practices, including large, distributed workloads, batch and streaming pipelines, and the data foundations that power … tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) - Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approaches - Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services - Experience with data reporting ...

areas of modern technology. You’ll play a key role in delivering robust, scalable core services and infrastructure that support Machine Learning and Agentic AI solutions across the business.You’ll be joining a newly formed team of engineers focused on building, maintaining, and evolving Evoke’s next-generation … AI platforms, including our Machine Learning and Agentic AI cores.As part of the wider Cloud team, you’ll collaborate with a multi-disciplinary group of engineers, working primarily with AWS technologies and third-party integrations to deliver an AI platform designed for an ambitious ...

delivery and project management tools such as JIRA, Confluence, Visio, Excel and MS Project. Experience using Generative AI and/or Agentic AI tools such as Copilot, Claude or AWS Q within technology delivery. The ability to understand business requirements and turn them into practical design ...

. Good experience in Authentication and Authorisation implementations Good understanding on Fine grain and policy-based authorisation Exposure and deep understanding on Agentic AI guardrails Implement API security with OAuth2, JWT, OpenID Connect, and API Gateway (Apigee/Cloud Endpoints). Implement authentication and authorization mechanisms for applications … Istio/Linkerd). Familiarity with AI/ML integrations, observability tools (Dynatrace, Grafana, ELK). Experience or good understanding in Agentic AI #J-18808-Ljbffr ...

Head of Agentic AI and Data Science Research The Head of Agentic AI and Data Science Research leads the FCA’s capability at the frontier of applied AI, ensuring the organisation not only adopts emerging technologies but understands, shapes and governs them … objectives. Reporting to the Director of Intelligence & Digital, this role is the research and design engine for AI. It provides strategic leadership for AI research, model governance, data science capability, and horizon scanning. It is responsible for identifying how emerging AI technologies can be applied safely ...

experiments and turning commercial opportunities into reliable production systems. You'll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. This is a role for someone who enjoys both developing sophisticated models and putting them into … revenue, conversion and customer value within pricing decisions. Risk models: Building models that improve our understanding of claims, refunds and transaction-level risk. Agentic AI systems: Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls. Evaluation ...