6 of 6 Autonomous Agent Jobs in the UK excluding London

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 ❯

/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 ❯

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 ❯

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 ❯

the frontier of AI/ML research and application? This is your opportunity to steer innovation that matters-developing technology that underpins national security, space capability, and intelligent autonomous systems. We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language … track record of leadership in R&D environments Demonstrated expertise in at least one of the following: AI/ML for imagery (incl. remote sensing) Reinforcement learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit More ❯