26 to 50 of 1,877 AI Agents Jobs in London

partner closely with global technology, product, data, security, and business teams to make enterprise systems, APIs, and data safely available to AI agents, automation platforms, and intelligent business workflows. This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft … capabilities. AI Enablement Capability Ownership This role owns the end-to-end integration capability that enables enterprise AI agents, copilots, automation platforms, and intelligent workflows to securely discover, access, and act on enterprise systems and data. MuleSoft AI Gateway and secure AI ...

most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded … most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded ...

team, a small, high-impact global team building innovative AI solutions for the wider bank. We are at the forefront of Agentic AI , developing capabilities that enable data sharing across agent ecosystems, support new Agentic AI use cases and shape modern AI … scalable, production-quality solutions using sound engineering and architectural principles. Build and develop AI solutions, including Generative AI and Agentic AI using Google ADK . Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers. ...

Clay led the product and design teams for Google Workspace. What youll do Lead the design and delivery of production-grade AI agents : Youll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical … leaders at some of the worlds largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. Youll also work with innovative startups in Europe, embedding AI agents across their entire ...

applications. Leveraging Tencent Cloud TokenHub—a unified AI platform providing access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative … transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, leading foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities. Lead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning ...

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 … chose to stand behind. The value is in that judgement—in making the representation trustworthy and maintaining that promise over time. AI agents do the extraction and structuring. They cannot be the ones standing behind it. Our customers are asset managers, allocators, and financial data firms ...

powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude … business services and making Moody's capabilities consumable by AI agents. Make existing Moody's business services consumable by AI agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating ...

powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude … business services and making Moody's capabilities consumable by AI agents. Make existing Moody's business services consumable by AI agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating ...

customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join … customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join ...

AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than … continuously evolve the enterprise AI platform that powers AI products across 9fin.Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation. Build orchestration layers that transform structured and unstructured enterprise data into reusable ...

shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering and delivery, focusing … users. The Role We’re hiring a Lead Software Engineer to head our newly formed Agent Safety/Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, this role is critical to ensuring they do so securely and predictably. This ...

Work with teams across the business to understand processes, pain points and opportunities for automation Document workflows and identify where AI agents can deliver measurable value Translate business requirements into agent and workflow specifications Configure, test and deploy AI agents using WWE's agent … platforms Collaborate with Agent Factory to develop new capabilities and improve existing agents Support the rollout of agentic solutions across multiple departments Ensure agents are aligned with operational and commercial objectives Deliver training and coaching to users across the organisation Support teams in embedding agentic working practices into ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...