226 to 250 of 683 AI Agents Jobs in England

supportable solutions. You'll lead the design and build of applications, integrations and AI-enabled solutions production-ready AI agents and chatbots, while assuring code quality, testing, documentation and release controls. Working across Technology and the wider business, you'll solve complex technical challenges, shape … Azure DevOps Proven technical leadership, including owning complex Power Platform or Dynamics 365 delivery and coaching engineers Practical experience taking enterprise AI agents or chatbots from prototype to production, including orchestration, grounding, security, evaluation, monitoring and human oversight And in return, you'll get the best from ...

experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. … Secretaries, legal professionals, CIO/IT leaders, security teams, or other complex buying committees. Experience with generative AI, LLMs, AI agents, automation, analytics, or other emerging technologies. Experience with pricing, packaging, monetization, and product-market fit initiatives. About UsDiligent is the AI leader ...

AI engineering initiatives across a range of industries. You'll design, develop and deploy production-grade Generative AI and Agentic AI solutions, combining strong Data Science/Machine Learning foundations with modern software engineering practices. This is a hands-on technical role with opportunities … work closely with clients on complex AI transformation projects. Key Responsibilities Design, build and deploy Generative AI and Agentic AI solutions from initial prototype through to production Develop multi-agent systems and orchestration workflows using frameworks such as LangGraph, CrewAI, AutoGen or Semantic Kernel ...

client is a global professional services and technology consultancy. We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will … alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This ...

Senior AI Consultant - Agentic AI & Generative AI £60,000 - £80,000 base + bonus, training and a strong benefits package Hybrid working Office base of your choice: London, Manchester or Glasgow Full time, permanent If you want to build intelligent systems that actually make ...

Jira Automation rules that reduce manual work, improve consistency, and support repeatable business processes. Rovo and AI Enablement: Support and improve Rovo agents by maintaining instructions and knowledge sources, troubleshooting unexpected behavior, testing new use cases, and gathering feedback from users. Reporting and Visibility: Create and troubleshoot … queries, filters, dashboards, and operational reports. Create and maintain Jira Automation rules for well-defined administrative and business use cases. Support existing Rovo agents and assist with the creation, testing, and rollout of new agents and AI-enabled workflows. Troubleshoot Atlassian Marketplace applications and coordinate with ...

Express deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications … advanced AI software engineering concepts such as LLM integrations, prompt engineering, prompt evaluation, embeddings, retrieval-augmented generation, vector search, AI agents, agentic workflows, or human-in-the-loop review. Familiarity with building or integrating AI-enabled applications using APIs, data pipelines, model inference ...

ExperienceExtensive software engineering experience, with a strong background in backend and distributed systems, alongside proven experience building and deploying production-grade LLM and agentic AI applications. Expert-level Python skills, including asynchronous programming with asyncio, state machines and the design of complex application workflows. Strong experience with distributed … ability to integrate enterprise APIs, relational and NoSQL databases, and event-streaming platforms such as Kafka into complex application architectures. Practical knowledge of agentic AI architectures, multi-step reasoning, tool orchestration and production LLM application development. Deep understanding of application security, zero-trust principles, authentication, authorisation and secure ...

Title: Lead Engineer - AI Enablement (AWS, Python/TypeScript, AI Gateway) Location: Remote (UK-based) Rate: Negotiable/Competitive (Inside IR35) Duration: 6 Months Initial Clearance: SC Clearance Required - this must be active and have been used on a government project within the last 12 months. … . Desirable Skills: Experience with Cloudflare AI Gateway or custom AI proxy/gateway technologies. Experience building AI agents, tool-using systems, or Model Context Protocol (MCP) integrations. Experience with RAG, embeddings, vector search, or enterprise knowledge integration. Infrastructure automation using Terraform, Docker ...

Edinburgh) | Hybrid Can you shape a transformation road map with a client's executive team in the morning and show engineering teams how Agentic AI will work in production that afternoon? A global technology and business transformation consultancy is hiring an Enterprise Architect to lead change across Customer … transformation strategy across several programmes at once Work with client leadership to turn business goals into practical technology strategies Drive adoption of Agentic AI, Generative AI and Hyper automation Support governance, architecture reviews and executive decision-making Guide delivery teams and mentor architects and technical leads ...

AI Safety & Assurance Lead London | Hybrid | Permanent Security Clearance: Current SC or eligibility to obtain SC Salary: £100,000 - £120,000 + benefits We're working with a specialist UK technology business delivering advanced AI solutions into Defence, Government and other highly regulated environments . They … governance-only role. Around 75% of the position is hands-on technical work , testing whether models, pipelines and AI agents perform safely and reliably in real-world environments. The role You'll take technical ownership of AI evaluation and assurance, working closely with engineering, product ...

rapidly and robustly build, deploy, evaluate, govern, and operate AI systems at scale. As Bloomberg expands its investment in Generative and Agentic AI, we are building the trustworthy infrastructure that will power the next generation of intelligent products across Terminal, Enterprise, and client-facing experiences. What … Technical Product Manager to define and execute the strategy for our Agentic Infrastructure, the connective tissue and foundational layer that enables AI agents, tools, and applications to operate safely, securely, and at scale across Bloomberg. This role sits at the intersection of our AI Platforms ...

PermanentAI Engineering ManagerLocation: UK – Hybrid/FlexibleSalary: Up to 120,000 base salary, dependent on experience + BonusThe OpportunityWe are seeking an experienced AI Engineering Manager to lead the design, development and delivery of innovative AI solutions for complex, large-scale environments. This is a hands … leadership and architecture experience across AI engineering and software delivery. Practical knowledge of generative AI, LLMs, RAG, prompt engineering, agentic AI and model evaluation. Strong Python development skills and a sound understanding of software engineering best practice. Experience delivering AI solutions ...

comparable applied-AI environment, including hands-on design and build of AI solutions. Technical depth in how agentic AI systems are built and where they break, including retrieval and context, tool use, orchestration, evaluation and reliability, with the credibility to design and build alongside … taking AI from prototype into production with enterprise technology teams. A record of self-initiated builds outside the day job, such as agents, tools or prototypes. Track record of taking AI beyond pilot to scaled adoption and portfolio-level impact. Broad knowledge of Pharma ...

Location: London, England, United KingdomCategory: TechnologyCompany: CitiAbout the Team: Build the next generation of agentic AI.The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you'll tackle complex … engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment. This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You'll build reliable ...

AI Engineer Salary: Up to £85,000 Location: Fully remote – UK The Role We’re looking for an AI Engineer to build and deliver AI-powered features for a large-scale enterprise SaaS platform. You’ll work closely with Product, Design and Engineering … prototypes and taking them through to production. Key Responsibilities Build and deploy AI-powered features from prototype to production. Develop LLM integrations, agents, tool use and orchestration workflows. Build and maintain scalable backend services and APIs. Work with Product and Engineering to identify meaningful AI ...

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 ...

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 ...

successful as an AI Software Engineer, you should have experience with: Good understanding of Generative AI and Agentic AI, including their capabilities, limitations and failure modes, with sound judgement on when deterministic software is the better solutionExperience with context engineering, including retrieval-augmented generation … grounding, knowledge sources, memory, prompt design and controlled access to information. Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls. Experience using AI-assisted development tools and coding agents ...

Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.This OpportunitySnowplow is rebuilding how the company runs its own work. AI-native transformation … owns it: the platform every team's AI work runs on, the pattern for how a function's critical workflows move onto agents, and the measurement of whether it worked. Individual AI adoption is already high across the company. The next stage is redesigning functions ...

will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath — data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will … into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade — hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across ...

AI workloads, including landing zones, network/security patterns, app and data migration waves, modernization factory design, and run models. Define agentic AI architectures using Gemini Enterprise Agent Platform patterns such as Agent Studio, Agent Development Kit, RAG, vector search, skill/agent registry, model choices … zones, networking, IAM, GKE, Cloud Run, BigQuery, data engineering, DevSecOps and operational readiness. Hands-on understanding of Gemini Enterprise, Vertex AI, agentic AI, enterprise search/RAG, AI governance, evaluation, observability and responsible AI patterns. Practical exposure to customer experience transformation, conversational ...

practices. Mentoring: Mentor and train junior developers and team members. Continuous Improvement: Identify opportunities for process improvement, introducing wider use of copilot and AI and implement enhancements to maximise efficiency. QualificationsEssential Skills & Experience: Architecture Experience: Demonstrated experience leading the design and development of solutions using Microsoft Power Platform … frameworks such as Sparx Enterprise Architect, TOGAF, ArchiMate, or similar enterprise architecture methodologies. Desirable Skills & Experience: AI: Copilot Studio, AI Agents, Claude, Github CopilotUI/UX Design: Experience designing solutions with a focus on UI/UX and accessibility. Wider Microsoft Ecosystem: Experience with ...

wider deployment, with plans to develop them into commercial SaaS products. There are also further projects underway, including AI-powered automation, intelligent agents and new logistics applications. Your role will be to help turn these developments into secure, scalable and commercially viable software. What … confidence to take ownership of projects, challenge ideas constructively and explain technical decisions to non-technical colleagues. Experience with LLMs, AI agents, RAG, vector databases or workflow automation tools would be useful, but you don't need to have worked with every technology. Why consider ...

Description: The AI Engineer role will be responsible for working within a Product squad to design, build and deliver GenAI and Agentic AI products. The individual must have hands-on experience developing production-grade GenAI/Agentic AI solutions using LLMs, RAG and agentic … enabled applications. Skills required Strong Python software engineering experience Hands-on experience developing GenAI/LLM applications Hands-on experience designing and implementing Agentic AI workflows Experience with LangGraph Strong understanding of LLM workflow design, including state, routing, tools, structured outputs and human-in-the-loop patterns Practical ...