13 of 13 Autonomous Agent Jobs in the UK excluding London

in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. Responsibilities Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI … to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like React … in Python programming. Experience in building multi-step intelligent systems. Knowledge of machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background More ❯

systems that operate autonomously across diverse data sources and workflows.Implement scalable data processing pipelines using Apache Spark and Python.Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution.Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures.Work closely with data engineers, researchers, and platform teams to ensure robust deployment.Continuously research and integrate … emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.Required Skills & Experience:4+ years of experience in AI/ML engineering or data-intensive systems.Strong proficiency in Python for AI, ML, and data engineering tasks.Deep experience with Apache Spark (PySpark or Scala-based implementations).Solid understanding and hands-on experience with modelling intelligent agents, including symbolic … processing environments.Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi-agent coordination or LLM-based autonomous agents.Background in distributed systems, knowledge graphs, or real-time data processing.Contributions to open-source AI projects or relevant research publications. Carbon60, Lorien 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 ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking More ❯

units. This person will work closely with GTO’s Enterprise Architect and Solution Architect in a “3-in-a-box” model to ensure alignment, scalability, and compliance across all agent-based initiatives. Key Responsibilities: Architectural Leadership: Lead the definition and evolution of the agentic architecture framework across RDS workflows. Collaborate with GTO’s Enterprise Architect and Solution Architect to … ensure consistency, compliance, and alignment with enterprise standards. Ensure architectural decisions support scalability, security, maintainability, and performance of agent-based systems. Agent Development Oversight: Provide technical leadership and oversight in the development of agentic workflows across RDS squads. Guide engineering teams on best practices in building, testing, and deploying intelligent agents. Evaluate and recommend tools, frameworks, and platforms … for agent development. Cross-Functional Collaboration: Serve as the key liaison between RDS squads and GTO, translating squad-level requirements into enterprise architecture and tech stack decisions. Facilitate feedback loops from development teams back to GTO to influence strategic choices in infrastructure, tooling, and platform evolution. Ecosystem Integration: Assess the current RDS technology ecosystem to determine integration points, dependencies More ❯

business units. This person will work closely with GTOs Enterprise Architect and Solution Architect in a 3-in-a-box model to ensure alignment, scalability, and compliance across all agent-based initiatives. Key Responsibilities Architectural Leadership: Lead the definition and evolution of the agentic architecture framework across RDS workflows. Collaborate with GTOs Enterprise Architect and Solution Architect to ensure … consistency, compliance, and alignment with enterprise standards. Ensure architectural decisions support scalability, security, maintainability, and performance of agent-based systems. Agent Development Oversight Provide technical leadership and oversight in the development of agentic workflows across RDS squads. Guide engineering teams on best practices in building, testing, and deploying intelligent agents. Evaluate and recommend tools, frameworks, and platforms for … agent development. Cross-Functional Collaboration Serve as the key liaison between RDS squads and GTO, translating squad-level requirements into enterprise architecture and tech stack decisions. Facilitate feedback loops from development teams back to GTO to influence strategic choices in infrastructure, tooling, and platform evolution. Ecosystem Integration Assess the current RDS technology ecosystem to determine integration points, dependencies, and 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 ❯

the Director of Data, MI & AI in their role as the central point person for all Life AI and innovation topics. Including Lare Language Models (LLMs) Agentic AI, Autonomous agents for workflow automation AI-powered decision intelligence systems AI ethics and responsible AI implementation Deliver AI solutions across the full life cycle from PoCs and MVPs into production. More ❯