51 to 75 of 2,656 AI Agents Jobs in England

products and automations. The role combines software engineering, AI engineering, automation and solution architecture. You will design and build AI agents, orchestration workflows and intelligent automation solutions whilst ensuring they are secure, scalable, maintainable and aligned with business objectives. While supported by technical leadership … adoption. Delivering Production Solutions Progress successful proofs of concept into robust, production-grade AI solutions. Design and build AI agents, copilots and automation workflows using appropriate low-code and pro-code platforms. Develop and maintain Python-based services, integrations and orchestration components. Build and support ...

solutions by translating business requirements into actionable plans and supporting the implementation of AI, Machine Learning, Generative AI, and Agentic AI solutions integrated with existing enterprise systems.Drive stakeholder alignment and AI adoption through workshops, governance frameworks, operating models, executive presentations, and scaling … technology-enabled change programs.Data & AI Knowledge: Practical understanding of AI, Machine Learning, Generative AI, AI agents, analytics, data products, and decision intelligence, with the ability to apply them to business challenges.Business Problem Solving & Stakeholder Management: Strong analytical skills with the ability ...

investing heavily in Artificial Intelligence to drive innovation across our business. With the rapid adoption of Microsoft 365 Copilot, Copilot Studio, AI Agents and Azure AI Services, we are looking for an AI Governance & Copilot Platform Lead to establish the governance, controls … whilst maintaining strong governance and compliance standards. The ideal candidate will have: Strong knowledge of Microsoft AI technologies, including: AI Agents Experience developing governance frameworks, policies and technology controls Understanding of risk management, information security and compliance Knowledge of Microsoft Purview, DLP, Information Protection ...

Role You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, developing React-based agent and admin tooling, and debugging production issues on systems that serve tens of thousands … agents and millions of customer interactions. You work within architectures set by practice leads, and youre expected to pressure-test them, propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI ...

AI investments translate into measurable business value and sustainable adoption with a strong focus on embedding Generative AI, Copilots, Agentic AI, and intelligent automation into CRM processes. Responsibilities Define and drive the CRM AI roadmap aligned with business priorities and CRM strategy. … define success metrics, and prioritize initiatives based on value, feasibility, and scalability. Maintain and govern the CRM AI opportunity portfolio. Copilot & Agentic AI Enablement Drive adoption of AI Copilots, Agent force solutions, and intelligent assistants. Define business requirements in collaboration with IT, Data ...

Design and deploy robust AI agents Build AI agents and multi-agent systems Fine-tune LLMs for smarter agents Evaluate multi-agent pipelines using an LLM as a judge against ground truth Deliver AI solutions end-to-end Set up evaluation … work inside IR35 Availability to start ASAP Availability for a 6-month engagement Core Competencies Demonstrates expertise in designing and deploying AI agents and multi-agent systems, with a strong foundation in Python, machine learning, and deep learning. Proficient in integrating solutions on GCP and fine-tuning ...

AI Solution Development: Build, enhance, test, and support applications using Power Apps, including Canvas and Model-Driven apps, alongside AI agents and AI-powered solutions using Copilot Studio, Agent Builder, and Azure AI Foundry. Ensure solutions are well-structured, user-focused … Dataverse data models, relationships, solution components, knowledge sources, prompts, connectors, APIs, JSON-based integrations, and external system connections. Ensure applications and AI agents can securely access and use appropriate enterprise data sources. Standards, ALM & Responsible Governance: Contribute to solution design and uphold development standards for application ...

cases with clear production pathways through measurable experiments, delivering results for sophisticated AI products under conditions of genuine uncertainty. Identifies where autonomous agents, multi-step reasoning, tool-using architectures, and emerging integration standards create step-change opportunities across the business, evaluating internal and third‐party AI … agentic tooling), ideally including evaluating AI‐native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent‐to‐agent integration standards (e.g., MCP), AI‐assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities ...

000+ PDFs (fund reports, regulatory filings, investor letters) turned into clean, queryable data that institutional buyers use for decision‐making. AI agents do the reading. We build the agents. Team of 5, output of 50. A dataset is not a fact. It's a representation of reality … that someone chose to stand behind. AI agents do the extraction and structuring—they cannot be the ones standing behind it. That's your job. Our customers are asset managers, banks, and financial data firms who need reliable data extracted from documents that were never meant ...

designing tailored solutions, and ensuring the successful delivery of projects that meet defined metrics. This role requires strong technical expertise across Generative and Agentic AI—including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled … roleIn the role of Senior Consultant within Topaz Unit, you will be one of the pillars shaping the Gen AI/Agentic AI ecosystems for our esteemed clientele in Europe. You will play a vital role in researching AI trends, designing and defining AI ...

leading professional services environment. This role sits within a growing AI function focused on accelerating AI adoption, delivering agentic AI solutions and improving business processes through intelligent automation. You'll work across a variety of initiatives, partnering with stakeholders to identify opportunities where AI … ResponsibilitiesDesign and develop AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. Build and deploy agentic AI solutions to automate workflows and enhance business processes. Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies. Design and implement ...

successful business adoption. The role will suit someone who can combine strategic AI leadership with practical delivery experience across GenAI, LLMs, Agentic AI, RAG, enterprise automation, responsible AI, cloud platforms, and operating model transformation. Key Responsibilities Lead enterprise AI and GenAI delivery … enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery of LLM, RAG, Agentic AI, Conversational AI, and multi-agent solutions. Lead vendor selection, programme mobilisation, stakeholder management, and delivery governance. Work with executive stakeholders ...

AI Solution Development: Build, enhance, test, and support applications using Power Apps, including Canvas and Model-Driven apps, alongside AI agents and AI-powered solutions using Copilot Studio, Agent Builder, and Azure AI Foundry. Ensure solutions are well-structured, user-focused … Dataverse data models, relationships, solution components, knowledge sources, prompts, connectors, APIs, JSON-based integrations, and external system connections. Ensure applications and AI agents can securely access and use appropriate enterprise data sources. Standards, ALM & Responsible Governance: Contribute to solution design and uphold development standards for application ...

AI solutions across an Enterprise Knowledge Base (EKB). This is a hands-on role focused on GenAI, LLMs, RAG and Agentic AI, taking solutions from prototype through to production. You'll work across AI, data and engineering teams to build intelligent retrieval, knowledge … discovery and automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI ...

Murphy AI deploys voice AI agents that help banks collect debt. We’ve built a fully-fledged platform designed to optimize recovery rates while maintaining respectful and personalized communication. Our advanced automation streamlines the process of collecting overdue invoices for banks and other industries, providing … seamless and effective solution . Our AI-powered agents adapt instantly, engaging with debtors across channels like voice, messengers, email and sms to maximize results while preserving trust. By combining advanced artificial intelligence with powerful automation, we’re setting a new standard for how businesses recover payments ...

make it easier for a homeowner to hire an Angi Pro, on one certified source of truth that people and AI agents can trust equally. The team's strategy is built around one idea: this platform should feel like a self-service product, not a ticket queue … engineers and analysts who depend on it, and increasingly for the AI agents who depend on it too. Angi is moving toward AI agents as a normal way of building and operating, and every agent that touches company data comes through this platform first. ...

software engineer first — someone who knows how to build secure, scalable, production-grade applications and has embraced technologies such as LLMs, AI agents, RAG and AI-assisted development. You’ll be joining a fast-moving AI & Data Innovation team, initially helping establish … React, Node.js, .NET/C#, Python and FastAPI . Integrating Microsoft AI technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications ...

AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance and best practices * Translating business requirements into cloud-native AI and data architectures … engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure, AWS or GCP You need ...

AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance and best practices Translating business requirements into cloud-native AI and data architectures … engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure, AWS or GCP You need ...

Software Engineer | Agentic AI | London Competitive Salary + Equity + Outstanding Benefits Large language models are changing what software can do. We're partnering with a well-funded technology company building AI agents that can reason, use tools, interact with systems and solve complex problems … autonomously. They're looking for a Software Engineer who wants to work at the cutting edge of agentic AI — designing, building and deploying the systems that allow AI agents to operate reliably in real-world environments. This isn't a role where you'll simply ...

through to deployment and monitoring Build and maintain robust MLOps frameworks, governance processes and engineering best practices Develop Generative AI and Agentic AI solutions, including RAG, semantic search, AI agents, multi-agent workflows and LLM orchestration frameworks Work with LangGraph, Google ADK, Microsoft … from concept through to production Strong experience implementing MLOps strategies, frameworks and operational best practices Deep understanding of Generative AI and Agentic AI concepts, including RAG architectures, embeddings and vector search, evaluation frameworks, and LLM orchestration Hands-on experience with LangChain, LangGraph, LlamaIndex, CrewAI, Autogen, Google ...

Engineer or Machine Learning specialist, but you will understand how technologies such as Large Language Models, Retrieval Augmented Generation and AI agents come together to solve real business problems. This is a genuinely hands on architecture role. You will design secure, scalable and production ready AI … offs and risks behind your decisions. Design solutions using modern AI patterns including Retrieval Augmented Generation, Large Language Models, AI agents, orchestration and enterprise integration. Work closely with engineering, data, product and security teams throughout design, build and implementation, providing hands on architectural guidance ...

Specialist We are seeking an experienced AI Engineer who specialises in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands consultative skills, technical expertise, and the ability to identify impactful use cases and articulate … business benefits while implementing scalable AI solutions. Key Responsibilities Design and implement Agentic AI architectures for enterprise workflows. Deliver end-to-end AI solutions from ideation to production deployment. Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock ...

building both client-facing solutions and proprietary internal platforms. The successful candidate will work across a broad range of challenges, including AI agents, workflow automation, data engineering, app development, market intelligence, ERP-related solutions and internal AI products that support consultants and clients alike. … automation tooling Experience delivering real-world software solutions Strong problem-solving ability Excellent communication skills Highly Desirable AI Agents/Agentic AI experience RAG architectures Data engineering experience Cloud platforms (Azure, AWS or GCP) Modern application development experience Consultancy or client-facing experience Interest ...

Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language Processing (NLP), AI Product Development, Innovation Management … Optimisation, Rapid Prototyping, Proof of Concept (PoC) Development, Innovation Labs, Human-Centred Design, Design Thinking, Technology Evaluation, Solution Architecture, Enterprise Technology, Workflow Automation, Agentic AI, Prompt Engineering AI Innovation Lab Engineer CPS Group UK are partnering with a global Financial Services organisation to source an ambitious ...