451 to 475 of 2,537 AI Agents Jobs in England

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. ...

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 ...

solutions for energy customers across multiple industry domains.- Architect end-to-end AI pipelines integrating foundation models, speech, vision, and tool-use agents with energy platforms and infrastructure.- Build production-quality proof-of-concepts demonstrating agentic capabilities, AI developer and productivity tooling.- Lead technical engagements … with energy engineering teams on analytics and AI architectures.- Provide strategic guidance on deploying AI agents into energy environments, addressing latency, reliability, compliance, and scale requirements.- Develop reference architectures and reusable blueprints that accelerate GenAI adoption, combining Bedrock, AgentCore, Kiro/Claude Code/Codex ...

involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA). Evaluate and championcutting-edgeAI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust … model training and inference at scale. Experience in a complex globalorganisationspanning multiple sites and therapy areas. Strongproficiencyin augmenting — but not supplanting — daily knowledgeworkwith agentic AI tools. Proactivelyup-to-datewith the latest AIresearch;tries out new tools and methods of interest without waiting to be directed. Team-oriented mindset ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

with genuine technical depth. Key Responsibilities Design and deliver hands‐on technical workshops for Tech teams – participants build and ship working AI agents themselves. Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first working solutions on KAIT. Success … DevOps) with a subsequent move into enablement, consultancy, or internal transformation. Proven experience coaching technical teams to build and deploy AI agents or RAG pipelines in production. Hands‐on with at least one low‐code/no‐code automation platform (e.g., n8n). Strong prompt engineering knowledge ...

built for every type of service, in any industry, across any channel. Powered by Agentforce, it is the only platform where AI agents and human service representatives work together in real time to resolve issues faster, personalise every interaction, and deliver support across every channel—including customer … service—to unify service delivery on a single intelligent platform. With the industry's fastest-growing AI adoption rate, agentic AI use in service grew from 39% to 66% in a single year. Agentforce Service equips businesses to meet customers where they are—across voice, digital ...

products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific to building with … way. You use generative AI tools as a natural part of how you work: prototyping ideas, conducting research, reviewing PRDs, and building agents or automated workflows to extend your own productivity. You are comfortable using coding assistants to get things done faster and are genuinely excited about ...

natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword … areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences ...

AI Revenue Growth Manager# AI Revenue Growth ManagerThe AI Revenue Growth Manager will lead commercial development and revenue generation for Keywords AI Data Services across the UK and EMEA, identifying, qualifying and closing new business opportunities with frontier AI labs … services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts.Skills & Attributes·Strategic acumen combined with operational rigour: able to set a regional revenue agenda and personally ...