26 to 50 of 223 AI Agents Jobs in London

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

leading company is hiring a Senior Agentic AI* Architect. Hybrid position - 6-month rolling contract, paying up to £1100 per day, depending on experience. Outside IR35 Experience and skills required for the Agentic AI Architect, Agentic Artificial Intelligence, Architecture 8+ years of experience in AI … custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems. Package for the Agentic AI Architect, Agentic Artificial Intelligence, Architecture Hybrid position Paying up to £1100 per day depending on experience - Outside IR35 ...

AI services firm is looking for a hands-on AI Architect to define and deliver next-generation GenAI and agentic AI platforms across a global client base. You'll own end-to-end architecture across Azure AI Foundry, Databricks, and AWS — from … systems Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal) Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph Experience with MLOps, CI/ ...

solutions supporting an ambitious technology transformation programme. You will play a hands-on role in developing full stack applications, integrations, APIs, AI agents, and automation solutions across a Microsoft and Azure ecosystem. This includes integrating Microsoft 365 Copilot, Claude Cowork, and Azure-based data platforms with business … deployment and handover. Strong communication skills with both technical and non-technical stakeholders. Desirable Skills & Experience Experience developing plugins, skills, or connectors for agentic AI platforms. Experience with AI orchestration frameworks such as LangChain or LangGraph. Knowledge of Microsoft Power Platform, including Power Automate and Power ...

based legal counsel, taking the lead on EMEA commercial activity and collaborating globally where needed. You will negotiate and close complex SaaS and AI platform contracts with the legal and procurement teams of global financial institutions, and you will help Duco navigate the entirely new territory of AI … manages stakeholder expectations proactively. Managing Risk & Compliance: Understands key legal, regulatory, ethical, and reputational risks facing Duco – including the emerging risks specific to agentic AI – and helps the business navigate them. Beneficial Experience Privacy and data protection law, including GDPR and cross‐border data transfer frameworks. Regulatory experience ...

AI Enablement team is responsible for driving the adoption of AI and accelerating the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking — driving the integration of AI into business workflows to deliver measurable commercial impact. The responsibilities of the Chief Data … AI capabilities, identifying priorities and focusing on high-impact AI use cases, setting the GenAI strategy around LLMs and Agentic AI, reusing and scaling AI solutions across lines of business, and fostering a culture of innovation and an AI-first ...

workflows, integrating AI platforms, and delivering scalable cloud-native solutions. Responsibilities AI Agent Engineering Design and implement AI agents, including: Retrieval (RAG) Orchestration workflows Tool/function invocation Policy-based routing Build evaluation frameworks for accuracy, latency, and reliability Implement observability and monitoring … experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability tools Hands ...

products across multiple global brands. The Project You'll be working on cutting-edge initiatives across: Chatbot and conversational AI development Agentic AI systems LLM-driven product development AI-powered B2B marketing agents Multi-brand AI integrations and workflows This … dependent on experience Immediate interviews Ideal Background They are keen to speak with Data Scientists who have experience across: Large Language Models (LLMs) Agentic AI systems Chatbot platforms NLP and generative AI AI product development Python and modern ML tooling Experience deploying AI ...

best practices. Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks. YOUR PROFILE We’d love to meet someone with: Experience working in a major Consulting firm, and/… designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing cloud-native data and AI architectures across Azure ...

benefits (multiple positions available at different levels) London, Manchester or Glasgow/Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come … world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative ...

proficient in Azure DevOps and scaled Agile Frameworks. Shape AI and digital transformation at King's College London. Lead LLM and agentic AI products as well as a transformation portfolio of digital products that improve the student and staff experience. The Product Manager AI … Master, or equivalent experience AI-enabled Products & Emerging Technologies: Experience with AI-enabled services, conversational AI, automation, agentic AI, digital assistants, CRMenabled workflows or digital products using emerging technologies. CRM, Case Management & Service Platforms: Experience working on CRM developments, Microsoft Dynamics ...

months to ensure you are not duplicating efforts. Job Category: Sales About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. … educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability – Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents – Use Agentforce ...

early engineer to fix the UK’s broken £2.5bn conveyancing market. You will lead a vertical‐specific team with P&L accountability, shipping agentic AI workflows that navigate complex legal processes. Working directly with the founder who scaled Gen H to £1bn in lending, you'll shape product … agents and LLM‐powered systems that go beyond simple prompting to automate complex legal transactions. What you will do Design and deploy agentic AI workflows and LLM‐powered systems using a modern stack including TypeScript, React, tRPC, Inngest, and GCP. Collaborate directly with users to define product ...

turning 100k+ unstructured PDFs into living, constantly updating datasets Make core architecture decisions around reliability, scale, formats, and data quality Ship AI agents and LLM-powered workflows (document extraction, multi-agent pipelines, orchestration) into production Treat data as a product, the outputs inform decisions worth millions … being early-stage, its the business model. What were looking for Proven experience owning data pipelines from ingestion to delivery Shipped AI agents or LLMs in production Background in fintech, market intelligence, or financial data (e.g. Revolut, MSCI, Monzo, Bloomberg) working with raw, unstructured data at scale ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they … AI/models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific ...

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 ...

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 ...

fronts simultaneously: building the core platform capabilities — the virtualized data lake, Common Data Layer, and data contract framework — that give WTW a unified, AI-ready data foundation; and embedding directly within product domains to deliver the high-quality, reusable data products that drive real business value. You will … documentation, debugging, pipeline design, and technical research — treating it as a force multiplier, not a curiosity. Practical experience integrating LLMs or AI agents with data platforms — whether through RAG pipelines, semantic layers, vector stores, or agentic data access patterns — is a strong advantage. How You Work ...

deployment automation using GitHub, GitHub Actions and Bicep IaC. Proficiency in Visual Studio Code , ideally with tools like GitHub Copilot or other AI-assisted development extensions. An AI-native approach with proven experience … strong hands-on interest in Azure's AI stack, including Azure AI Foundry, Azure OpenAI, AI Search, agents and RAG patterns. Strong practical knowledge of databases, including SQL and NoSQL platforms, schema design, data access patterns, query performance and secure data handling. Ability ...

standards development and industry consortia. The breadth of the team’s standards expertise includes current Cisco focus areas such as AI agents, AI infrastructure, networking, routing, switching, wireless, security, data, quantum. Your Impact: As a Principal Engineer reporting to the VP of Global Technology Standards … related role. 10+ years of industry experience. Deep knowledge of the technology, frameworks, and industry trends relevant to multiple Cisco business areas, including AI, IP networking and security. Preferred Qualifications: Highly recognized leader in one or more external standard organizations such as IEEE, IETF, WFA, or other industry ...

Hiring: AI Engineer (LLMs | Product-Focused | London, Paddington) I'm partnering with a fast-growing, heavily funded startup that's redefining how care providers operate through AI. Backed by $20M in Series A funding and scaling quickly, they're building an AI-powered platform used across … decisions A research-focused platform , leveraging labs, imaging, and structured/unstructured medical data to drive insights Example challenges include: Building AI agents to handle calls and schedule appointments Creating systems to generate and structure clinical notes from free text Using LLMs to reliably extract and standardise ...

rapidly adopt, significantly transform and immediately unlock value through AI, by providing a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data. Through our core principles of providing composable, sovereign and secure AI … implementing AI solutions, and position Uniphore as the trusted partner to address them. Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based capabilities tailored to each prospect’s context. Build and deliver custom demos and proof-of-concepts (POCs) to validate ...

Senior .NET Migration Engineer (Cloud Modernization) Permanent | London (Hybrid) | Tech: .NET 10, Kubernetes, AWS, Terraform, AI Agents The Mission Forget standard "lift-and-shift." We are completely modernizing our Back End estate, moving from a Legacy London Datacentre straight into AWS and Kubernetes using .NET … services to AWS & K8s. Design shared libraries and service templates to ensure architectural consistency. Build migration pipelines combining Terraform, CI/CD, and agentic AI tools. Partner with the Platform team on observability, networking, and security. What You Need Mandatory: Deep C# experience (8+ years) across .NET Core ...

Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams … AI & ML Model Evaluation:/li , li Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models/li , li Oversee scenario based testing, regression suites, multiturn agent simulations, and automated evaluation systems such as LLMasJudge ...

Senior .NET Migration Engineer (Cloud Modernization) Permanent | London (Hybrid) | Tech: .NET 10, Kubernetes, AWS, Terraform, AI Agents The Mission Forget standard "lift-and-shift." We are completely modernizing our backend estate, moving from a legacy London Datacentre straight into AWS and Kubernetes using .NET … services to AWS & K8s. Design shared libraries and service templates to ensure architectural consistency. Build migration pipelines combining Terraform, CI/CD, and agentic AI tools. Partner with the Platform team on observability, networking, and security. What You Need Mandatory: Deep C# experience (8+ years) across .NET Core ...