26 to 50 of 71 Autonomous Agent Jobs in the UK

technology and AI to drive efficiency, security, and growth worldwide. We are seeking a highly skilled and motivated AI Engineer to join a cutting-edge team building intelligent autonomous agents for real-world deployment within complex systems. This role is ideal for individuals passionate about the future of AI, autonomous systems, and large-scale applications in More ❯

technology and AI to drive efficiency, security, and growth worldwide. We are seeking a highly skilled and motivated AI Engineer to join a cutting-edge team building intelligent autonomous agents for real-world deployment within complex systems. This role is ideal for individuals passionate about the future of AI, autonomous systems, and large-scale applications in 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 ❯

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 ❯

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 ❯

ML algorithms, data science, and machine learning is essential. 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, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version 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 ❯

/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 ❯

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 ❯

how millions of companies understand their finances, we’d love to talk. Role Overview: We're seeking an experienced AI Engineer who has built and deployed sophisticated multi AI agent systems. You'll help us evolve our AI architecture, a state of the art, autonomous and goal-driven system while maintaining reliability in the financial domain. You … development and implementation of cutting-edge AI capabilities. Key Responsibilities: Enhance our existing AI CFO agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent … and customize models for financial domain expertise Architect systems that will eventually serve thousands of founders making critical financial decisions Required Qualifications: 2+ years experience building production-grade AI agent systems 5+ years developing software applications Demonstrated experience implementing AI agents Expertise in memory systems and context management for AI agents Strong coding skills in Python and experience with More ❯

how millions of companies understand their finances, we’d love to talk. Role Overview: We're seeking an experienced AI Engineer who has built and deployed sophisticated multi AI agent systems. You'll help us evolve our AI architecture, a state of the art, autonomous and goal-driven system while maintaining reliability in the financial domain. You … development and implementation of cutting-edge AI capabilities. Key Responsibilities: Enhance our existing AI CFO agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent … and customize models for financial domain expertise Architect systems that will eventually serve thousands of founders making critical financial decisions Required Qualifications: 2+ years experience building production-grade AI agent systems 5+ years developing software applications Demonstrated experience implementing AI agents Expertise in memory systems and context management for AI agents Strong coding skills in Python and experience with 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. 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. … Master’s or higher preferred. Minimum of 10+ years in software architecture or enterprise architecture roles. Demonstrated experience in designing and implementing complex distributed systems, ideally with exposure to agent-based architectures or autonomous systems. Proven track record working with AI/ML pipelines, microservices, and cloud-native platforms. Experience collaborating with cross-functional teams across product 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 ❯

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 ❯

You Will Be Joining Our team specializes in seamlessly integrating agentic AIs into customer support workflows, ensuring high-quality interactions at scale while lowering operational costs. By deploying autonomous agents that can handle a broad range of inquiries, we help reduce conversation overhead and allow human specialists to focus on more complex tasks. Collaborating closely with customer service … leaders, we ensure our solutions maintain the company’s voice and deliver exceptional experiences across all support channels. What You'll Be Doing Develop autonomous AI agents using modern frameworks and APIs to streamline insurance processes and automate customer operations. Build a scalable backend platform to support rapid development, deployment, and management of AI solutions. Create reusable, declarative … resolving system availability, reliability, and performance issues Experience mentoring and guiding more junior members of the team Familiarity with AI frameworks, prompt engineering, and workflow orchestration for building autonomous agents is a plus Experience with TypeScript and a declarative framework, such as React to model user interfaces or interactive workflows is a plus. Our Tech Stack Java More ❯

complex problems and publish your findings at peer-reviewed conferences and workshops. We are seeking world-class researchers with experience in one or more of the following areas: autonomous agents, API orchestration, planning, large multimodal models (especially vision-language models), reinforcement learning (RL), and sequential decision-making. Minimum qualifications: PhD, or Master's degree with 6+ years of More ❯

our most advanced customers to develop transformative solutions leveraging AWS’s comprehensive AI/ML stack. As a GenAI Solutions Architect specializing in agentic systems, you’ll architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges. You’ll design autonomous agent architectures that leverage Amazon Bedrock’s … advanced capabilities for reasoning, planning, and execution across enterprise workflows. Working directly with product teams, you’ll influence AWS’s agentic AI roadmap while helping customers implement agent broker patterns, supervisor patterns, and multi-agent collaboration frameworks that enable AI systems to perceive environments, make decisions, and take actions with minimal human oversight. You’ll conduct performance evaluations … of agent reasoning capabilities, develop compelling demos showcasing autonomous AI workflows, and create proof-of-concepts that demonstrate how agentic systems can transform business processes through goal-directed operation. In this role, you’ll shape the future of enterprise AI while continuously developing novel solutions to complex business challenges. Using AWS’s comprehensive AI stack including Amazon 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 ❯