9 of 9 Permanent Autonomous Agent Jobs in Central London

production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural … parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications … unauthorized actions, or drift from intended behaviour—catching issues before regulators do • Evidence Generation Systems : Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't More ❯

series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals – RFI/RFP/Orals stages. Experience leading a More ❯

and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design. Excellent communication and stakeholder management skills. Experience working on client proposals and leading technical presentations. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and More ❯

automation. Solid understanding of SQL (PostgreSQL) and relational database design. Experience with event-driven systems (Pub/Sub, Kafka) and NoSQL databases (MongoDB). Nice to Have RAG, autonomous agents, Model Context Protocol (MCP) Blockchain/Web3 integrations or tokenisation frameworks Understanding of cryptography and distributed systems Background in fintech, wealth management or due-diligence automation What’s More ❯

Google ADK. These skills are essential for the role. We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within … our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline … FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama More ❯

agentic system design Define and enforce AI development standards aligned with ethical and regulatory frameworks Ensure model interpretability, bias mitigation, and responsible deployment Co-develop governance frameworks for autonomous decision-making We are looking for: Experience supporting pre-sales activities in a consultancy or product-led environment Strong understanding of AI/ML techniques … such as reinforcement learning, planning algorithms, LLM-based agents, and simulation environments Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi-agent coordination, and decision- making frameworks Detailed knowledge of the Software Development Lifecycle & best practices Familiarity with agentic platforms and frameworks (e.g. LangChain, AutoGen, CrewAI, or custom orchestration stacks) Systems More ❯

Lead AI Engineer | Deep Tech Start-Up | London | Cutting-Edge Machine Learning & Autonomous Systems Join one of the UK’s most exciting deep tech start-ups , backed by leaders from Meta, Google, and OpenAI . We’re building frontier AI and autonomous systems that redefine intelligent defence. The Opportunity As Lead AI Engineer , you’ll shape … leading AI/ML teams and shipping production solutions Strong in Python , C++ , or Rust , with ML frameworks (PyTorch, TensorFlow, JAX) Background in distributed systems , reinforcement learning , or autonomous agents Collaborative leader who thrives on complex technical challenges What You’ll Do Design and deploy scalable AI-driven systems Drive technical strategy, infrastructure, and innovation Collaborate with leading … state-of-the-art tools High ownership, impact, and growth potential Based in London , in-office by default Shape the Future of AI Lead the next wave of autonomous intelligence and help define how AI transforms real-world systems. Apply now to join the UK’s most ambitious deep tech start-ups! Lead AI Engineer | Deep Tech Start More ❯

functional teams, proactive understanding of market and customer needs, and strong thought leadership in emerging capabilities. A key focus is the integration of Agentic AI technologies. These intelligent, autonomous agents will enable advanced automation, improved decision-making, and a seamless user experience across the ServiceNow ecosystem. The role will sit at the centre of product innovation, AI-led … and motivating diverse teams. Deep understanding of ServiceNow enterprise modules such as ITSM Pro, ITOM, SecOps, CSM, HR, and Risk, including platform architecture. Knowledge of Agentic AI, including autonomous agents, task orchestration, cognitive automation, and decision-making frameworks. Proven ability to shape product strategy and deliver roadmaps incorporating AI or data-driven enhancements. Experience in productising AI-driven More ❯

At Epiminds, we’re building a self-learning marketing team of 20+ autonomous agents working across data, creative, strategy, and execution — all led by Lucy, a super-agent who collaborates with human marketers like a real teammate: reaching out, listening, emailing, and even calling. Today, 17 agencies and 270 brands leverage our product to save 60 % of … set Why Epiminds We’re transforming manual marketing into an intelligent, self-evolving system. The next era won’t rely on manual execution, it will be orchestrated by autonomous AI teams that learn, create, and strategize with superhuman precision, speed, and imagination. We’re a small, high-ownership team from Spotify, Google, and Kry, backed by investors behind More ❯