401 to 425 of 2,400 AI Agents Jobs in England

governance. Role & Responsibilities AI-Driven Collaboration & Automation Architect and deploy Microsoft 365 collaboration solutions, integrating Copilot and AI agents for enhanced productivity and knowledge management. Lead migration projects from legacy platforms to Microsoft 365 and SharePoint Online, ensuring seamless adoption of AI-powered … workflows and automation (Power Apps, Power Automate, Power BI). Design and implement advanced SharePoint Online sites, custom solutions, and scoped agents that serve as subject matter experts for organizational knowledge. Security, Compliance & Governance Configure and maintain Microsoft Purview for data protection, risk management, and compliance across Microsoft ...

Working With As a Data & AI Solution Architect at Capgemini, you will design and lead the delivery of intelligent data platforms and AI-native solutions that unlock advanced analytics, GenAI, and autonomous decision‐making at scale. You will translate business strategy into AI‐ready … reusable, governed patterns. Embed GenAI capabilities including RAG, vector search, and AI assistants into data platforms. Design and orchestrate AI agents and multi‐agent workflows to enable intelligent automation. Apply MLOps and LLMOps practices to ensure AI solutions are scalable and maintainable. Monitor ...

accelerate refactoring and reduce technical debt. Drive the shift from "developer-as-coder" to "developer-as-orchestrator," ensuring our teams effectively leverage agentic AI to manage complex workflows. Define the metrics for "AI-augmented productivity," focusing on how AI accelerates the software development lifecycle … Index: Measurable increase in adherence to group engineering standards and best practices using DORA metrics. AI Adoption Velocity: Adoption rate of agentic AI workflows across tribes and the measurable impact on code quality and review cycles. Quality & Security Velocity: Reduction in technical debt and successful integration ...

year and is hybrid, requiring 3 days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation … Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI, RAG and Agentic AI solutions in enterprise environments. Strong programming skills in Python, SQL and/or Scala. Experience with Azure cloud technologies including Azure OpenAI ...

Lead AI Engineer London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent BenefitsThis is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions … AI solutions from concept through to production.Responsibilities include:* Leading the end-to-end delivery of Generative AI and agentic AI solutions * Designing and building LLM-powered applications and intelligent automation tools * Making key architecture, tooling, and platform decisions across multiple initiatives * Evaluating build versus ...

business stakeholders to identify and shape high-value Copilot and AI use cases Assess whether Microsoft Copilot, Copilot Studio, AI Agents, Microsoft Graph Connectors, Power Platform or other technologies are the right solution Translate business requirements into practical technical solutions and delivery plans Build prototypes … business value and are supportable at scale What we're looking for: Strong hands-on experience with Microsoft Copilot, Copilot Studio, AI Agents and the Microsoft 365 ecosystem, combined with experience delivering AI-enabled or automation solutions in an enterprise environment. You'll need strong ...

Sector Technology team. This hands-on role focuses on building evaluation frameworks, tooling and harnesses for AI systems, particularly LLM and agentic AI solutions. The role requires ownership, experimentation and rapid delivery. Key Responsibilities Design evaluation frameworks and tooling Develop evaluation harnesses Evaluate model and agentic … strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI ...

architecture, engineering, scalability, and deployment. Design and build AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI approaches. Remain hands-on with development, contributing to Python code, architecture reviews, and technical problem-solving. Drive best practices across MLOps, testing, deployment, monitoring … ability to translate technical concepts into business outcomes. Strong project delivery and prioritisation skills within fast-paced environments. Desirable Experience building AI agents and orchestration workflows. Insurance or financial services experience. Knowledge of responsible AI, model governance, explainability, and bias mitigation. ...

Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real … data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents ...

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 ...

measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span … Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure* AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI ...

powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions … environments. Strong programming expertise in Python, Java, and JavaScript. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience ...

Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … Features: Familiarity with surfacing data insights through AI-powered experiences and understanding how these tools augment BI workflows AgentCore/Strands Agents: Exposure to agentic architectures is a strong plus understanding how to orchestrate AI agents for complex data workflows Builder mentality ...

innovation Lead the approach to AI across Digital Assurance Identify practical applications of generative AI, machine learning and agentic AI Translate concepts into repeatable, commercially viable services and accelerators Shape approaches for testing, validating and monitoring AI systems Encourage disciplined experimentation that … establish a clear technical vision and bring people with them AI Assurance, Responsible AI or AI governance Agentic AI or autonomous software engineering approaches AI/ML model validation and testing AI governance frameworks such as ISO/ ...

AI Front End Developer, you will shape the interface people use every day, the workspace where they work with AI agents, review outputs, and complete complex tasks with confidence. This is a frontend‐focused role where AI, product, and design come together … technical depth. Responsibilities Designing and building the core Mazlan workspace UI, a persistent and session‐aware environment where users interact with AI agents and guided workflows Creating real‐time interaction patterns such as streaming responses, live agent status, multi‐step reasoning visibility, and clear agent handovers Developing ...

client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets - Create reusable, production‐ready artefacts including MCP servers, sub‐agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments - Play a key technical role in rollouts … experience but primary languages include: TypeScript and the JavaScript ecosystem, Python and Java). Hands‐on experience building and deploying AI agents or multi‐agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable ...

enterprise-wide architecture strategy, governance, technology investment decisions, talent development and the evolution of architecture practice across Hastings Direct. The Head of AI Architecture is accountable for turning AI ambition into safe, scalable and value-led technology choices that support CIO priorities and deliver measurable value … observability, model lifecycle management and production support. Generative AI and automation delivery: Experience shaping architectures for generative AI, automation, agentic AI and AI-assisted capabilities, including retrieval augmented generation, tool use, orchestration, knowledge grounding, guardrails and secure use of third-party AI ...

AI Engineer | £ | Hybrid Build the AI systems our users actually experience. We're looking for a dynamic AI Engineer (5+ years) to design, build, and deploy autonomous, user-facing AI solutions - LLM-powered applications, agentic workflows, and intelligent systems that perform reliably … design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc.) Skilled in prompt engineering and orchestrating AI agents/chatbots Familiarity with cloud AI services (Azure preferred), Docker/Kubernetes, CI/CD, and monitoring Strong debugging, collaboration, and continuous-learning ...

owns the strategy, delivery and governance of application development, automation and real-time integration across RES — from core ERP through to AI agents and automations — within the company's Demand to Build to Run operating model and a flat-cost funding constraint. The role brings together, under … infrastructure sectors. Delivering ERP (IFS or comparable) alongside modern application, automation and AI capabilities. Putting AI-enabled applications or agents into production use, with the governance to match. Taking ownership of legacy application estates and setting a clear modernisation or retirement path. Operating a demand ...

central to GlobalData’s strategy to evolve from a platform business into an embedded intelligence layer, powering client pipelines, AI agents and decision-making systems with structured pharma data. The role… We are creating this role to lead the commercial and technical evolution of DDS as AI … Snowflake. Feed what you learn in client conversations back into how we shape the data and the roadmap. Understand how AI agents consume our data, and where that breaks, so we can improve it. Commercial contribution Shape AI-focused commercial offerings, pricing approaches and proposals ...

powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions … 5+ years of software development experience in commercial environments. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience ...

their lives. You can read more about who we are and how we work here. The role We're building AI agents that act as a doctor for preventive health — analyzing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system … need to make it smarter, faster, and ready for millions of users. As our AI Engineer, you own the reasoning engine: the agents, the retrieval pipelines, the clinical workflows, and the infrastructure that makes it all reliable in production. You work directly with our medical team ...

Forward Deployed Engineer - Public sector, Non-profit and Education Salesforce is hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder … mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform ...