20 of 20 Autonomous Agent Jobs in England

and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams … tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to … RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies More ❯

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 ❯

who has personal, tangible credibility working with Google, to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone … excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using … vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM More ❯

who has personal, tangible credibility working with Google, to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone … excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using … vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM More ❯

play an integral role using your experience and skills to contribute to the quality and implementation of our projects. What You'll Get to Do: Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact … improvement Collaborate with cross-functional teams-research, product, and engineering-to embed AI capabilities into products and services Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems Build full-stack applications (front-end interfaces and back-end APIs) using modern languages and frameworks (React/Angular, Python, Java, Node.js) Develop and … Artificial Intelligence, or a related field (STEM) Hands-on experience in AI/ML engineering, with demonstrable work deploying LLMs at scale (Multi-modal models and autonomous agent systems preferrable) Proven experience building back-end application components and APIs in Python Proficiency in designing and executing complex prompt strategies and intput/output data validation models to 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 ❯

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 ❯

Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ 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 ❯