1 to 25 of 50 Permanent AI Agents Jobs in Yorkshire

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 ...

Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation … Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured ...

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 ...

looking for a AI Assurance Lead to join our team in Bradford (BD4) on a permanent basis. This hybrid role offers the flexibility of two days in the office and three days working remotely each week. Role Overview As an AI Assurance Lead, you will play … AI lifecycle, from design and development through to deployment and monitoring. Assess and challenge AI systems, including generative and agentic AI solutions, to ensure they are safe, reliable, transparent, and aligned with organisational risk appetite. Conduct AI risk assessments and assurance reviews ...

& MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool‐calling capabilities, and multi‐agent coordination. Full-Stack Engineering: Drive best practices across our full stack, guiding … quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands‐on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full-Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript ...

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 ...

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. ...

internal operations to improve customer value, automation and decision-making. Explore and apply emerging technologies including generative AI, LLMs, RAG, Agentic AI, predictive analytics, graph intelligence, recommendation systems and semantic search. Turn ideas into prototypes and MVPs, validate them with users and stakeholders, and scale successful … proof of concepts. Strong hands-on experience with generative AI, LLMs and AI application architectures, including RAG, prompt engineering, agents and model evaluation. Deep understanding of modern data engineering, data platforms and MLOps. Strong cloud experience across Azure with experience building scalable, cloud-native solutions. ...

full-time role, based in Sheffield, focuses on designing and delivering intelligent data workflows that connect enterprise systems with large language models and agentic AI solutions. You will develop and evolve a Gen AI-powered case management platform that enables users to retrieve accurate summaries, insights … AI workflows to improve the quality, accuracy and relevance of AI-generated outputs. Support and drive the adoption of agentic AI capabilities and automation across investigative and case management processes. Work with both structured and unstructured data sources, ensuring data is properly ingested, transformed ...

engineering teams build the product experiences that help customers understand, improve, and act on product usage data. This team is focused on AI-powered features that turn raw usage signals into automatic, actionable suggestions, reducing the manual work customers need to do before they can get value from … someone who sees AI as a multiplier, not a shortcut. Must-haves Hands-on experience building with LLMs and AI agents, whether through production work or personal projects. You have built something with these technologies, not just used them as tools. Full-stack engineering experience ...

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 ...

Description Adversarial Tooling Engineer - AI & Red Team Engineering - Contract Rate £600 per day - Inside IR35 Contract 14 month contract with occasional travel to Sheffield Role Overview We are looking for an experienced Adversarial Tooling Engineer to join a major cybersecurity programme within a large, complex enterprise environment. This … Python development skills. Experience with additional languages such as Go, C#, C++ or TypeScript. Experience building AI-enabled tooling, AI agents or agentic workflows. Understanding of LLM security and the risks associated with autonomous or semi-autonomous AI systems. Strong understanding of offensive ...

that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively.Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We’re looking for people who are curious about or fluid with AI … Infrastructure (OCI). The Senior AI & Automation Engineer designs and delivers complex automation, Infrastructure as Code and domain-specific AI agents, and sets the technical direction for how we industrialise provisioning, reduce toil and improve recovery times across our online products and services. The role ...

delivery, and mentoring development teams. The ideal candidate will combine strong cloud‐native engineering expertise with practical experience building and integrating GenAI and Agentic AI solutions into enterprise platforms. Key Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks … best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability, governance, security, and performance. Mentor engineers and provide technical ...

Requisition ID #26WD100685Position OverviewAutodesk is building the next generation of AI capabilities that will transform how customers design and make. The Foundation Models team develops AI technologies that operate across Autodesk’s platform and business units. This role provides the analytical foundation needed to guide adoption … economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings ...

enterprise agent strategy – MCP, RAG, embeddings/vector search, tool calling, agent architecture, evaluation, grounding, orchestration. Architect and govern the Enterprise Agentic AI Strategy, deploying multi-agent frameworks and LLM-powered tools at scale. Architect and deploy enterprise-grade multi-agent AI systems for complex, multi … step workflows, integrating with ERP, CRM, and ITSM to automate high-value decisions end-to-end. Design internal AI tools and agents (e.g., AI Finance Bot, domain-specific LLM applications) and lead the roadmap for next-generation agentic platforms as emerging capabilities mature. Drive Data ...

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 ...