1 to 25 of 80 AI Agents Jobs in the City of London

streamline processes and support better decision-making. The Role As an AI Engineer, you'll design, build and deploy AI agents using Microsoft technologies, with a particular focus on Microsoft Copilot Studio and Microsoft Fabric. Working closely with business stakeholders and technical teams … solutions that are scalable, secure and aligned to governance standards. You'll be responsible for the full lifecycle of AI agents, from requirements gathering and solution design through to deployment, monitoring and continuous improvement. Key Responsibilities Design and develop AI agents using Microsoft Copilot ...

building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that … satisfying engineering. We're also fundamentally rethinking how we deliver software. We're moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery ...

passionate about helping organisations unlock the potential of Artificial Intelligence and shaping innovative solutions that deliver real business value? As our Pre-sales AI Solutions Architect within the AI Practice, you'll combine technical leadership, client engagement and strategic thinking to help grow our AI … AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience with Retrieval ...

streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing … working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity ...

Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry … achieve similar results at large-scale. Some traveling is expected. Responsibilities: Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applicationsleveragingthe C3 AI Suite. Assistand enable C3 AI's customers to build their own applications ...

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance … performance and efficiency. The Role You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. ...

team, who are hiring for a Lead AI Engineer. This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced … FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery ...

Vacancy - Senior Underwriter - AI Liability Start Up MGA Package: Competitive Salary + Equity The Opportunity We are supporting a fast-growing, US-based Insurtech that is building a specialist Managing General Agent (MGA) focused on AI Liability insurance for enterprise AI deployments. The business … insurance proposition designed to address the emerging errors & omissions (E&O) and liability exposures created by enterprise use of AI agents and autonomous AI systems. The company has raised $12m in funding and is now preparing to launch its MGA and secure its Lloyd ...

AI Product Manager Up to £100,000 + 10% bonus + benefits Hybrid: 1–2 days per month (Various offices UK wide) Ad-hoc London travel | Expenses covered for eligible travel We’re working with an exciting renewable energy company to appoint an AI Product Manager … Architecture, Cyber Security and Power Platform teams Manage external delivery partners and AI product backlogs Evaluate technologies including LLMs, GenAI, RAG, agentic AI and predictive analytics Ensure AI solutions are secure, compliant and delivering measurable business value Drive adoption and report progress to senior ...

roles within 12 months to ensure you are not duplicating efforts.Job CategorySalesJob DetailsAbout SalesforceSalesforce 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. … decisions at customer engagements: data modelling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); advise customers on how these systems collaborate within their enterprise architecture.Navigate ambiguous ...

Director/Senior Director, Strategic Solutions London, Greater London, England, United Kingdom · Sales C3 AI (NYSE: AI … Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry ...

London, Greater London, England, United Kingdom · Forward Deployed Engineering C3 AI (NYSE: AI … Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry ...

/Senior Director, Strategic Solutions – Industrial Defense and/or Ministry of Defense (Public Sector) London, Greater London, England, United Kingdom · Sales C3 AI (NYSE: AI … Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry ...

technologies, workplaces, and colleagues to make our Group a great place for everyone. What we’re looking for? Recognised expertise in GenAI and Agentic AI technology, with experience of creating novel solution to real-world problems and successfully delivering AI systems to production. Strong experience … technologies such as generative AI, AI agents, chatbots, language models, transformers, vector stores, and search algorithms. Experience in building and extending full conversational AI architecture from front end experience through AI services to back end system integrations. Experience in understanding ...

engineering role suited to someone who is comfortable working across front-end and back-end development, cloud-native services, integrations, DevOps, and emerging Agentic AI solutions within a regulated environment. The role is Hybrid and requires onsite attendance in Central London 23 days per week. Technical Skills C# … automated testing frameworks Experience integrating AI and LLM services including OpenAI, Claude, Gemini, or Azure AI Experience building Agentic AI workflows, orchestration frameworks, AI copilots, or autonomous process automation solutions Knowledge of AI-driven APIs, semantic search, RAG architectures ...

value. Lead discovery sessions, solution design and technical workshops with senior stakeholders. Design pragmatic AI solutions across Generative AI, Agentic AI, LLMs, RAG and modern cloud platforms. Provide architectural guidance and technical leadership throughout delivery programmes. Remain hands-on where required, supporting engineering teams … Experience designing enterprise AI solutions using technologies such as: Generative AI Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Agentic AI Cloud AI Services (Azure, AWS or Google Cloud) Comfortable engaging with both technical and non-technical stakeholders. Experience supporting pre-sales ...

committed to learning alongside our customers. We want to ensure our intelligence is the reliable foundation for the next generation of AI Agents and decision-engines, evolving our delivery to match the architectures our customers are heading towards. About the team: Part of a growing Solutions Engineering … Forward & Inquisitive: You have a practical understanding of modern AI ecosystems and are comfortable discussing concepts such as LLMs, AI Agents, and retrieval-based architectures with customers. You are interested in how data is consumed by AI-driven workflows and enjoy exploring emerging ...

with solid data engineering experience and practical exposure to AI agents. You will build catalogue, semantic, entitlement, and analytical layers that enable agents to work with enterprise data safely and effectively. Requirements: 6+ years building production software in Python, with strong engineering fundamentals (testing, performance, clean design … layers/knowledge graphs and entity resolution. Exposure to policy-as-code (e.g. OPA) or data-access platforms. Awareness of how AI agents are secured: identity, scoped access, evaluation and monitoring. Consulting or client-facing/pre-sales experience. Responsibilities: Build production-grade Python services and data ...

year and is hybrid, requiring 3 days per week onsite in London. You’ll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation … Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI, RAG and Agentic AI solutions in enterprise environments. Strong programming skills in Python, SQL and/or Scala. Experience with Azure cloud technologies including Azure OpenAI ...

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance … codebase refactoring, and performance optimization . Develop reproducible environments with deterministic verification and golden reference solutions . Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers . Evaluate AI-generated software solutions for correctness, maintainability ...

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. ...

Lead Data Scientist (Agentic AI) | Series-A Start-Up | £100,000-£130,000 DOE + Shares | London/Hybrid (1 Day Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead Data Scientist (Agentic AI … . This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI ...

London, Greater London, England, United Kingdom · Forward Deployed Engineering C3 AI (NYSE: AI … Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry ...

that capture the imagination and deliver impressive returns for our clients. Our roles and responsibilities are rapidly changing during this age of rapid AI growth, adoption, capability and market options. AI Landscape and Production AI implementation experience is essential. The Technical Lead … design, integration & model customisation – with proven experience of addressing marketing challenges such as content generation, personalisation, campaign optimisation etc. AI Architecture – Agentic AI creation and Orchestration. AI Content & Data Engineering – experience of collecting, cleansing, transforming and embedding. AI Cost x Value calculations ...

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 ...