21 of 21 Autonomous Agent Jobs in the UK

Principal Security Engineer, Autonomous Security Job ID: Amazon UK Services Ltd. We are looking for an experienced Principal Security Engineer to join the Autonomous Security team in London. You will be a key technical leader in a team responsible for building and scaling AI-powered security solutions across Amazon's global infrastructure. This team is transforming … how Amazon approaches security through autonomous detection, assessment, and remediation of security issues. We partner with security teams and service teams across Amazon to embed autonomous security capabilities throughout the development lifecycle. You will be an expert across security automation, AI/ML systems, and application security, and will be sought out for advice on autonomous security solutions. Your role will help ensure our autonomous systems make provably correct security decisions at scale, while setting standards and defining best practices for AI-powered security. You will proactively shape the future of security automation across Amazon and be a critical leader in driving the adoption of autonomous security solutions. Key job More ❯

automation systems for workflows including metadata extraction, tagging, reporting, and anomaly detection. • Design and deploy RAG (Retrieval-Augmented Generation) and embedding-based search solutions integrated with enterprise knowledge bases. Agent Orchestration & Autonomy • Build intelligent agents using CrewAI, LangChain or similar frameworks to support use cases like automated report generation, root cause analysis, and interactive user agents. • Implement feedback and … tools. • Integrate semantic layers and metadata mapping to facilitate natural language querying and low-code data exploration. Documentation, Scaling & Knowledge Ops • Document all AI workflows-from prompt structures and agent behaviors to API interfaces and data flows-for reproducibility and team-wide collaboration. • Build internal knowledge bases, vector stores, and wiki systems fueled by LLM summarization and indexing . … and AI-data interplay. Nice to Have • Google Cloud certifications in Data or Machine Learning. • Experience with vector databases , embedding generation , and RAG infrastructure. • Exposure to autonomous agent memory systems , reward tuning, or action planning loops. • Familiarity with Data Engineering process and tools. More ❯

LEAD AI ENGINEER LIVERPOOL 2 DAYS ON-SITE INSIDE IR35 A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the … full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots, A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize … responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title: Lead AI Engineer Location: Liverpool, UK Job Type: Contract Trading as TEKsystems. Allegis Group More ❯

AI systems —powered by LLMs, autonomous agents, LangChain, and LangGraph . If you're passionate about building intelligent autonomous agents , LLM-driven workflows , and multi-agent orchestration , this is the role for you. 🧠 The Opportunity: Agentic AI Director You’ll operate at the intersection of technical innovation and business strategy , helping Fortune 500 clients realise … Partner with data scientists, ML engineers, and product strategists to deliver real-world outcomes. Client Enablement : Lead training, workshops, and innovation sessions to foster AI adoption and literacy in agent-based systems . 🎓 What You Bring: PhD in Machine Learning, Artificial Intelligence, Computer Science, Engineering, or related field Hands-on expertise with LangChain, LangGraph , and LLM orchestration tools Proven … experience building and deploying agentic AI systems , multi-agent frameworks , or LLM-powered automation Expert in prompt engineering , RAG pipelines , and autonomous task execution Expert with MLOps , cloud platforms (AWS/GCP/Azure), and AI infrastructure pipelines Excellent communication and stakeholder engagement skills—client-facing experience essential 🌍 Why Apply? ✅ Global Reach : Collaborate with world-leading brands More ❯

AI systems —powered by LLMs, autonomous agents, LangChain, and LangGraph . If you're passionate about building intelligent autonomous agents , LLM-driven workflows , and multi-agent orchestration , this is the role for you. 🧠 The Opportunity: Agentic AI Consultant You’ll operate at the intersection of technical innovation and business strategy , helping Fortune 500 clients realise … Partner with data scientists, ML engineers, and product strategists to deliver real-world outcomes. Client Enablement : Lead training, workshops, and innovation sessions to foster AI adoption and literacy in agent-based systems . 🎓 What You Bring: PhD or MSc (essential) in Machine Learning, Artificial Intelligence, Computer Science, Engineering, or related field Hands-on expertise with LangChain, LangGraph , and LLM … orchestration tools Proven experience building and deploying agentic AI systems , multi-agent frameworks , or LLM-powered automation Strong grasp of prompt engineering , RAG pipelines , and autonomous task execution Familiarity with MLOps , cloud platforms (AWS/GCP/Azure), and AI infrastructure pipelines Excellent communication and stakeholder engagement skills—client-facing experience essential 🌍 Why Apply? ✅ Global Reach : Collaborate More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine More ❯

/ML algorithms, data science, and machine learning principles. Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version More ❯

domain experts to transform raw supply chain data into structured, reliable, and actionable insights that drive decision-making across our platform. We're creating the data foundation for autonomous agents to reason, plan, and act in complex, high-stakes environments. This role is an opportunity to work on deeply technical challenges with real-world impact at scale. Tasks More ❯

AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, with a focus on prompt engineering and LLMs. Writing production-grade Python applications. More ❯

with every interaction. We capture successful workflows, assimilate patterns, and enable instant retrieval so that agents never have to solve the same problem repeatedly. Our approach goes beyond existing agent frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value. About Moonsong Labs: Entourage has been … and development of core AI systems that enable collective learning and shared memory among autonomous agents. Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale Drive innovation in protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents. Build frameworks and tooling … to transform episodic episodic experiences and action trajectories into reusable, network-wide intelligence. Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems. Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers. What you'll bring: Previous experience More ❯

engineering: wiring up LLMs to build tools that think, delegate, and act autonomously. It's early stage, high impact, and moves fast. If you've been experimenting with autonomous agents, chaining LLMs, or hacking together side projects that push the edge of what AI can do, you'll fit right in. You might be: The hacker who's More ❯

gapped deployment scenarios. Align AI feature development with customer requirements across government, critical national infrastructure, defence, and enterprise security sectors. Track advancements in generative AI, transformer models, and autonomous agents, ensuring innovations are adaptable to disconnected and highly controlled environments. Evaluate and prioritise AI initiatives based on ROI, commercial value, technical feasibility, and strategic alignment, ensuring focused investment More ❯

practices. Prompt Engineering: Skilled at crafting clear, structured, and effective prompts to optimize the quality, relevance, and utility of AI-generated outputs. Agentic AI: Understands the role of autonomous agents in streamlining workflows and automating end-to-end tasks. Able to build, utilize, or manage agentic AI systems and integrate them into business processes. Skills & Personal Characteristics: Ownership More ❯

systems leveraging APIs like OpenAI Chat Completion and Assistant endpoints AWS, Terraform, GitHub Actions (CI/CD), Monitoring Tools, Scripting and Automation languages Experience with agentic architectures, designing autonomous systems that combine multiple AI components to perform complex tasks (would be a great plus) Understanding of Model-Context-Protocol (MCP) and how to build AI agents that can … We're particularly interested in how you've applied these tools in real-world projects Have you designed or worked with agentic AI systems (e.g., using MCP or autonomous agents)? By checking this box, I agree to allow Lucanet Group to retain my data for future opportunities for employment for up to 180 days after the conclusion of More ❯

Build, test & deploy production-grade AI Agents, that build and run autonomous businesses. Full-time About the job At Honu , we're building the platform for Autonomous Businesses. We're looking for an AI engineer to design, build, test, and deploy production-grade AI agents running on top of Honu's proprietary Decision Infrastructure Framework. You … work ethic. Curious, pragmatic, and ready to own production-grade systems end-to-end 1+ years of professional software engineering experience Solid Python skills and hands-on experience with agent frameworks (LangChain, Google ADK, etc ) Experience using Pydantic , and FastAPI Experience with SQL , DBT , and BigQuery Cloud infrastructure experience (preferably GCP) with Docker & Terraform Experience with AI development environments … like Cursor, Windsurf, Claude Code TDD mindset and comfort with Agile/XP workflows (pairing, code reviews, CI) Nice to Have Exposure to multi-agent systems, memory, or RAG pipelines Develop and maintain agent-facing UIs with React & TypeScript Understanding of agent monitoring, safety, and governance best practices Apply for the job Do you want to join More ❯

up to date Commercial mindset with strong analytical skills; ability to interpret data and translate insights into actionable strategies Dependable: being both a team player and autonomous agent to drive results Exceptional communication and stakeholder management skills, across global timezones Dynamic: being able to pivot quickly with an abundance of energy and resilience No Ego: being approachable More ❯

experience in Python development, with a strong track record of delivering robust AI/ML solutions, particularly in the domain of autonomous agents. In-depth knowledge of agent frameworks and tools such as OpenAI Agents SDK, Autogen, Google ADK/A2A, LangGraph, and similar technologies. Practical experience integrating generative AI models (e.g., OpenAI, Anthropic, Google Gemini, LLaMA More ❯

at the intersection of cutting edge research and enterprise impact, leading the delivery of transformative AI systems across multiple business domains,including LLMs, multimodal AI, generative models, and autonomous agents. The role is remote working with Adhoc travel within the UK for client meetings, workshops etc. Your role will involve: Building, scaling and leading a high performance team … ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative AI applications, custom … to diverse audiences. Why This Role Stands Out: This opportunity will enable you to lead transformative AI products that go beyond dashboards and models,powering real-time automation, autonomous decision making, and LLM-driven innovation. Join an organisation investing heavily in next-gen AI, with an open mindsetfor experimentation and thought leadership. More ❯

engineers offering a personal service to help our peers find jobs - register with us , and let us do the hard work for you. Python Robotics Algorithm Developer (27448) Multi-agent autonomy, decision-making and control in a high-tech startup In this pioneering startup you would work on autonomous behavioural algorithms for coordinated multi-agent drone … Python, to a high level of proficiency, in related areas. An understanding of relevant robotics fundamentals and relevant algorithms for locomotion, decision-making and control. Prior experience with multi-agent systems/distributed coordination of autonomous agents. Additionally a relevant PhD, knowledge of reinforcement learning or distributed (decentralised) control algorithms, optimisation for multiple objectives, or other distributed More ❯

learning, and world models in robotics or simulation Strong software engineering background, with fluency in Python and C++ Experience training and evaluating transformer models or end-to-end autonomous agents Familiarity with real-time inference systems and autonomous vehicle constraints Proven leadership in driving ML projects from research to production Bonus: Prior work on end-to … end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models) Experience with sensor fusion (LiDAR, camera, radar) in a learned model Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color More ❯

the competition and gathering user insights, you will ensure continuous improvement throughout the product's lifecycle. A key focus of this role is leveraging Agentic AI capabilities, intelligent, autonomous agents that can perceive, reason, and act to enhance automation, decision-making, and user experience across the ServiceNow ecosystem. You'll work at the intersection of product innovation, AI … to inspire and motivate a diverse team. Deep understanding of ServiceNow enterprise modules (ITSM Pro, ITOM, SecOps, CSM, HR, Risk) and platform architecture. Understanding of Agentic AI concepts: autonomous agents, task orchestration, cognitive automation, and decision-making frameworks. Track record of driving product strategy and roadmap execution with AI or data-driven product enhancements. Experience in productising AI More ❯