26 to 50 of 54 AI Agents Jobs in Yorkshire

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 ...

AI and Data SME Largely remote-based, with ad hoc travel to Sheffield Initial 6-month contract Inside IR35 £700 per day We’re partnering with a leading financial services client to appoint an AI and Data SME to act as the key bridge between AI … Security, assessing how AI developments could impact the function Working closely with the CTO and wider technology teams on areas including Agentic AI Reviewing AI outcomes and translating their implications into actionable requirements for Data Security teams Defining and embedding appropriate controls around AI ...

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 … want someone who sees AI as a multiplier, not a shortcut.Must-havesHands-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 with ...

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 ...

transform compliance operations. Today, we are entering our next chapter. We are building what we believe will become the world's first Agentic AI Tax Operations Platform, transforming how global enterprises manage tax operations, regulatory compliance, onboarding, remediation, documentation management, monitoring and governance. Our vision extends beyond software. … messaging, commercial models and enterprise adoption frameworks. This is a rare opportunity to help shape an entirely new category at the intersection of Agentic AI, enterprise software and regulatory technology. Key Responsibilities Go-To-Market Strategy Develop and execute the commercial strategy for TAINA's AI ...

transform compliance operations. Today, we are entering our next chapter. We are building what we believe will become the world's first Agentic AI Tax Operations Platform, transforming how global enterprises manage tax operations, regulatory compliance, onboarding, remediation, documentation management, monitoring and governance. Our vision extends beyond software. … messaging, commercial models and enterprise adoption frameworks. This is a rare opportunity to help shape an entirely new category at the intersection of Agentic AI, enterprise software and regulatory technology. Key Responsibilities Go-To-Market Strategy Develop and execute the commercial strategy for TAINA's AI ...

transform compliance operations. Today, we are entering our next chapter. We are building what we believe will become the world's first Agentic AI Tax Operations Platform, transforming how global enterprises manage tax operations, regulatory compliance, onboarding, remediation, documentation management, monitoring and governance. Our vision extends beyond software. … messaging, commercial models and enterprise adoption frameworks. This is a rare opportunity to help shape an entirely new category at the intersection of Agentic AI, enterprise software and regulatory technology. Key Responsibilities Go-To-Market Strategy Develop and execute the commercial strategy for TAINA's AI ...

patterns that power the next generation of our enterprise data platform.You’llshape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. You’ll love this role if you enjoy solving complex … enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long ...

Description Experience: 10+ Years Role Overview We are seeking a hands-on Senior Cloud Engineer to support the development of a Finance AI platform. The role is focused on building scalable, cloud-native enterprise applications and integrating AI capabilities into existing business platforms. Candidates should … REST APIs. CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving ...

patterns,accelerating delivery, and mentoring development teams. The ideal candidatewill combine strong cloud-native engineering expertise with practicalexperience building and integrating GenAI and Agentic AI solutions intoenterprise platforms. Key Responsibilities Lead the implementation of AI-enabled applications and platformcapabilities. Establish reusable patterns, frameworks, and best practices … forAI engineering. Design and oversee LLM, RAG, and Agentic AI integrations withinenterprise environments. Collaborate with architects and engineering teams to ensurescalable, secure, and maintainable solutions. Define standards for AI observability, governance, security,and performance. Mentor engineers and provide technical leadership across AIdevelopment initiatives. Contribute hands ...

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/ ...

Cyber Essentials Plus and IASME Cyber Assurance. They are also growing into Managed AI Services with Microsoft Copilot and AI agents, so there's plenty going on and lots of room to develop. Our client’s helpdesk is the first point of contact for their … Azure. What you'll get Hands-on training and a clear path towards 2nd line. Support with certifications. Exposure to cyber security and AI projects you won't get at most entry-level roles. A small, friendly team where your ideas are heard. If this sounds like ...

back-end work, designing scalable GenAI features and integrating MCP services. You will lead architecture and rollout of autonomous AI agents, ensure robust observability, and collaborate with product and design teams to turn vision into production-ready systems. The role demands hands-on experience with React/ ...

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 ...

Test Triangle Limited in the United Kingdom seeks a highly experienced Lead AI Platform Engineer to drive AI capabilities within a Finance AI 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 ...

experienced professional to join our Financial Crime Risk team in the role of Technical Delivery Lead. Youll deliver leadership and hands-on Agentic AI engineering in Financial Crime Riskdriving end-to-end, production-grade AI solutions from governance and senior decision-making through to LLM/… pension scheme with a generous employer contribution. In this role youll: -Lead end-to-end delivery of production-grade AI and Agentic AI solutions for financial crime risk detection and investigation -Contribute to solution design and build where needed, including: LLM/agent workflow design (tool ...

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 ...

Senior Python AI & Data Engineer to design and deliver intelligence data workflows that connect enterprise systems with large language models and agentic AI solutions. You will build and evolve a Gen AI-powered case management platform delivering accurate summaries, insights, and recommendations from structured … unstructured data. In this senior role you will provide technical leadership, promote modern AI engineering practices, and ensure AI-powered #J-18808-Ljbffr ...

. 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 ...