76 to 100 of 575 AI Agents Jobs in the UK

implementation, working with software engineers to bring ideas into real products. The focus is on LLMs and applications such as AI copilots, agents, enterprise search and workflow automation. Relevant experience can come from PhD research or projects, so candidates who have recently completed their PhD are welcome. … concepts to a range of stakeholders Experience in any of the following would be beneficial: LangChain and/or LangGraph Developing AI agents, copilots, enterprise search or workflow automation solutions Working with company data, APIs or business processes Familiarity with Linux and Git A basic understanding ...

Opportunity We are working with a leading Private Bank that is looking to appoint a Lead AI Engineer to play a pivotal role in accelerating the adoption of AI across the organisation. This is an exciting opportunity for a hands on, commercially aware engineer who thrives … Microsoft Azure ecosystem, including cloud-native application development and integration. Experience working with Generative AI, Large Language Models (LLMs), AI agents or AI-assisted development tools. Solid understanding of API development, systems integration and connecting multiple enterprise data sources. Experience with modern development ...

orchestration and cloud-native components. Lead the technical design of MLOps and model deployment pipelines, ensuring reliable, secure and compliant operation of LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based … with MLOps, model deployment and operationalising AI/ML models in production environments. Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases. Practical experience designing and implementing vector-based search and retrieval systems within AI ...

orchestration and cloud-native components. Lead the technical design of MLOps and model deployment pipelines, ensuring reliable, secure and compliant operation of LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based … with MLOps, model deployment and operationalising AI/ML models in production environments. Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases. Practical experience designing and implementing vector-based search and retrieval systems within AI ...

management, and AI runs through every part of our product suite: computer vision, data science, deep learning, NLP, and AI agents in production. You'll be accountable for our AI systems end to end, lead the AI team, and shape … Nice to Have Experience with zero-shot and vision-language models (e.g., OWLv2, Florence-2, CLIP-style embeddings). Experience building AI agents, tool use, or computer-use and browser automation. Experience with ClearML, Label Studio, PyTorch Lightning, or LangChain. Experience running GPU inference on Kubernetes ...

global single thread for regulatory filing documents. You will work on key regulatory documents and automate as much of the work as possible with agents after a lean, AI-native redesign of the business process. You will also need to define an end-to-end knowledge system. … Begin Code Orange, Responsible AI, and Accountability Report conversations during prototyping - so the productionisation team does not inherit governance debt. Contribute reusable agents, prompt templates, and reference architectures to the organisation's pattern library after each engagement. Form and defend kill/continue recommendations ...

Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production-grade AI assistants, copilots and intelligent agents … consumer understanding. Reports to: Chief Innovation and Technology Officer What you'll be doing... Design and implement AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt ...

Build and maintain CI/CD and MLOps pipelines supporting AI solution delivery. Enable secure integration of AI services, APIs, agents, models and orchestration frameworks. Implement platform observability, monitoring, logging and operational support capabilities. Establish security controls, governance policies and operational guardrails for AI … driven platforms. Platform observability, monitoring, logging and operational support tooling. Identity, security, governance and compliance controls within cloud environments. Experience supporting AI agents, orchestration frameworks, retrieval architectures and model integration patterns. Cost optimisation, FinOps and cloud consumption management. Automation and Scripting technologies supporting platform operations. Aptitudes/ ...

internal operations and customer services. You will inherit live automation assets, stabilise and document them, then build secure workflows, integrations and AI agents that reduce manual effort, improve consistency and create repeatable value. This is an engineering and ownership role, not a service desk position with occasional … requirement. Develop resilient PowerShell and API integrations with secure authentication, pagination, rate-limit awareness, structured logging, exception handling and rollback. AI agents and intelligent workflows: Deliver practical agents and AI-enabled workflows that use approved knowledge, request approval where needed, record evidence and escalate ...

discovery and redesign of how organisations work, turning real-world processes, specialist knowledge and decision-making into AI-ready designs for agents and humans. You will model business concepts, rules and responsibilities, define how people and agents collaborate, and specify what agents may do, what … work really happens, including exceptions, workarounds and tacit expert judgement. Redesign processes around outcomes rather than legacy tasks, deciding where AI agents, traditional automation or simple process changes are most appropriate. Model the domain and knowledge: define concepts, relationships, rules, decision criteria and lifecycle states, and identify ...

analytical applications , using HTML, CSS, JavaScript and relevant visualisation tools. Identify and develop practical opportunities for AI, Copilot, AI agents and automation across reporting and business processes. Coordinate BI analysts, developers and data engineers, managing workloads, priorities, delivery quality and technical standards. Lead analytics … Practical experience developing HTML/web-based dashboards , ideally using HTML, CSS and JavaScript. Experience applying Generative AI, Copilot, AI agents or automation to business challenges. Experience with modern cloud data platforms, ideally Microsoft Fabric . Strong stakeholder management and communication skills, with the ability ...

CoachingBegin Code Orange, Responsible AI, and Accountability Report conversations during prototyping — so the productionisation team does not inherit governance debt. Contribute reusable agents, prompt templates, and reference architectures to the organisation's pattern library after each engagement. Form and defend kill/continue recommendations … including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands-on experience with GenAI patterns: agents, multi-agent orchestration, retrieval-augmented generation (RAG), prompt engineering, and evaluation. Strong experience in the physical space: labs, manufacturing control, edge deployment of models ...

AI-driven solutions that create real business value. Our AI Practice spans Data Science, Generative AI, and Agentic AI, helping clients across industries harness the power of AI to transform operations, enhance decision-making, and drive innovation. As an AI … manufacturing, energy and utilities or others. Experience working on AI or data-driven projects in government or regulated sectors. Exposure to agentic AI systems and emerging AI technologies. Experience with change management and organisational readiness for AI adoption. AptitudeProblem Solving: Break down ...

some engineering. You will start by building strong foundations, then move on to the most exciting part of the role: using AI agents to test our applications continuously. Whilst we aren't fully remote, we are flexible on office presence and can consider hybrid approaches … noise they learn to ignore Review system designs and architecture with engineering teams, applying security thinking early Build agentic security testing: AI agents that continuously test our applications and alert engineers to issues Work closely with our CISO and security team, turning security goals into working systems ...

Platform solutions using Power Apps, Power Automate, Dataverse and related Microsoft services. Identify appropriate opportunities to use AI, Copilot, AI agents and intelligent automation to improve business outcomes. Consider data quality, privacy, security, human oversight, monitoring and responsible use when designing AI-enabled … cloud design principles. Experience with Power Apps, Power Automate and Dataverse. An understanding of AI-enabled solutions, Copilot, AI agents, automation and responsible AI. Knowledge of API-led integration, event-driven design patterns and modern application delivery. An understanding of security, identity, resilience, supportability, data ...

capabilities to support analytics, data exploration or insight generation. Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation. Understanding of how to design trusted, governed and well-documented data products that … capabilities to support analytics, data exploration or insight generation. Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation. Understanding of how to design trusted, governed and well-documented data products that ...

their infrastructure responsibilities. You don't need to be an AI specialist already but some exposure to it and AI Agents either commercially or in your own time will be needed. The Role Working closely with the AI Software Engineer, you will help … platforms, including user accounts, access rights, environments, API keys and usage monitoring. Deploying, monitoring and maintaining internal applications and AI agents, troubleshooting issues and escalating where necessary. Supporting Microsoft 365 and Azure services, including Entra ID, SharePoint, Teams, permissions and Power Platform integrations. Onboarding colleagues onto approved ...

Begin Code Orange, Responsible AI, and Accountability Report conversations during prototyping - so the productionisation team does not inherit governance debt. Contribute reusable agents, prompt templates, and reference architectures to the organisation's pattern library after each engagement. Form and defend kill/continue recommendations … frameworks and multi-agent orchestration, tool use and Model Context Protocol (MCP), and agent evaluation and tracing. Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding ...

effective and responsible use of AI tooling so the capability spreads. Challenge established development processes and procedures, particularly how AI agents are integrated into the SDLC, and work closely with the Engineering Leads on tooling adoption and delivery outcomes. Track AI and agentic … frameworks, guardrails and cost management. Experience designing or orchestrating multi-agent workflows, and familiarity with agent protocols (e.g. MCP) for integrating AI agents with engineering pipelines and enterprise data. Experience with microservice based architectures and containerisation. Experience building and working with mathematical algorithms, or with geospatial, catastrophe ...

take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager, Microsoft Agentic AI Technical LeadThe opportunityWe are looking for an experienced Microsoft Agentic AI Technical Lead at Senior Manager level to lead the design, engineering … delivery of enterprise-grade generative AI and agentic AI solutions for our clients.This is a hands-on technical leadership role combining deep AI engineering expertise with solution architecture, client consulting and delivery leadership. You will translate complex business problems into secure, scalable and production ...

implement technical solutions independently. Experience mentoring engineers and promoting engineering best practices. Desirable Experience Oracle Cloud Infrastructure (OCI), Pulumi or Bicep. AI agents, GitHub Copilot, Cursor or other AI-assisted engineering tools. Cloud migration and infrastructure transformation projects. Disaster recovery, resilience and cloud cost optimisation. … professional development and technical leadership. Compensated on-call rota where applicable. Terraform, Microsoft Azure, Infrastructure as Code (IaC), Cloud Automation, DevOps, AI Agents ...

stakeholders to identify high-value use cases and integrate AI into existing workflows and systems. - Develop and maintain AI applications, agents and automations using Microsoft AI technologies. - Design effective prompts, grounding strategies and knowledge integrations to deliver reliable AI outputs. - Build … Models (LLMs), Natural Language Processing (NLP), Machine Learning fundamentals and Prompt engineering. - Experience designing prompts, grounding strategies and knowledge integrations. - Experience working with agentic AI and integrating AI capabilities into business processes and enterprise systems. - Experience evaluating and integrating third-party AI platforms ...

ecosystem, including Azure AI, Copilot and the wider Microsoft cloud stack. What you'll be doing Building AI applications, copilots, agents and automated workflows Developing solutions using Azure OpenAI, Azure AI services and Copilot Studio Building RAG and enterprise search solutions using internal … Foundry Copilot Studio Microsoft 365 Copilot Azure AI Search RAG/knowledge-grounded AI applications AI agents and agentic workflows Microsoft Fabric Power Platform Azure Functions/Logic Apps APIs and system integrations Python, C#, JavaScript/TypeScript or similar Microsoft Entra ...

responsibilities Build and optimise semantic models across CRM and Practice Management System (PMS) data in Microsoft Fabric. Enable Claude Enterprise and AI agents to query structured enterprise data. Map natural-language questions to trusted metrics, relationships and calculations. Validate AI-generated answers against existing Power … Lakehouses, Warehouses, pipelines and semantic models. Advanced SQL, dimensional modelling, Power BI and governed business metrics. Practical experience connecting LLMs or AI agents to structured enterprise data, beyond document-based RAG. Strong understanding of data quality, governance and access controls. Proven ability to build and productionise scalable ...

responsibilities Build and optimise semantic models across CRM and Practice Management System (PMS) data in Microsoft Fabric. Enable Claude Enterprise and AI agents to query structured enterprise data. Map natural-language questions to trusted metrics, relationships and calculations. Validate AI-generated answers against existing Power … Lakehouses, Warehouses, pipelines and semantic models. Advanced SQL, dimensional modelling, Power BI and governed business metrics. Practical experience connecting LLMs or AI agents to structured enterprise data, beyond document-based RAG. Strong understanding of data quality, governance and access controls. Proven ability to build and productionise scalable ...