1 to 25 of 71 Autonomous Agent Jobs in the UK

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. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including … fast-moving environment where your contributions will directly shape both the future of our platform and your own growth. Key Responsibilities Design, build, and deploy RAG systems , including multi-agent and AI agent-based architectures for production use cases. Contribute to model development processes including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation . Build evaluation … and ability to work across disciplines with ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data More ❯

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. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows —into production. As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including … fast-moving environment where your contributions will directly shape both the future of our platform and your own growth. Key Responsibilities Design, build, and deploy RAG systems, including multi-agent and AI agent-based architectures for production use cases. Contribute to model development processes including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation. Build evaluation pipelines … and ability to work across disciplines with ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering, or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data More ❯

AI Engineer with a Google/GCP focus 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 ❯

AI Engineer with a Google/GCP focus 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 ❯

AI Engineer with a Google/GCP focus 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 ❯

AI Engineer with a Google/GCP focus 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 ❯

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 ❯

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 … 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. More ❯

AI Architect with a Google/GCP focus 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 ❯

AI Architect with a Google/GCP focus 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 ❯

design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at scale. Core Responsibilities Architect … LLMs and tool-using AI components across enterprise cloud environments Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript … memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills 5+ years in enterprise More ❯

design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at scale. Core Responsibilities Architect … LLMs and tool-using AI components across enterprise cloud environments Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript … memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills 5+ years in enterprise More ❯

design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at scale. Core Responsibilities Architect … LLMs and tool-using AI components across enterprise cloud environments Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript … memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills 5+ years in enterprise 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 ❯

profile will lead to further improved organisational efficiency across PS. Identify, design, and implement AI solutions, with the main focus in Generative AI, e.g. LLMs and AI-driven autonomous Agents, to streamline business processes and significantly reduce manual effort. Automate repetitive and complex tasks using AI solutions, enabling teams to concentrate on high-value strategic activities. Leverage advanced … AI technologies and autonomous agents to solve complex business challenges and drive innovation across PS. Enhance data-driven decision-making through AI, e.g. by developing robust LLMs and intelligent agents capable … of generating actionable insights from large and complex datasets. Collaborate closely with data scientists, analysts, and developers within Roche to ensure seamless integration and successful deployment of GenAI and agent-based technologies. Continuously refine and optimise AI models and autonomous agents to meet evolving business needs and Roche's quality standards. Actively contribute to the PS Data More ❯

Job Description Power Platform and Copilot Agent Architect Hybrid: In-office two days a week Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where … more sustainable, more inclusive world. Your Role Capgemini is looking for Microsoft Power Platform and Copilot Architect with hands-on experience in creating enterprise grade Power Platform applications, autonomous agents, AI assistants and Generative AI solutions using Microsoft cloud. This role will collaborate with our strategic customers to help them envision, plan and design innovative solutions to connect … solutions using Microsoft Copilot Studio that integrate with Microsoft 365, Azure, and enterprise systems. Application Development : Architect, design, and develop scalable enterprise applications using Microsoft Power Platform and Azure. Agent Development & Customization: Create and configure custom Copilot agents tailored to specific business needs. Extend Copilot capabilities using plugins, APIs, and enterprise data connectors. Customer Engagement : Understand customer requirements and 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 ❯

Agentic AI Engineer to join their high-impact AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact … an opportunity to do it at scale—with the freedom to experiment and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit … to simple UI) Max 2-month notice period ideally The Package: Annual bonus Private medical & pension Cutting-edge tooling, training & innovation support If you're looking to build intelligent agent-based systems at the forefront of AI innovation, get in touch with Connor Smyth at Anson McCade on 020 7780 6706 to learn more. Seniority level Seniority level Mid More ❯

more sustainable, more inclusive world. Your Role Capgemini is looking for Microsoft Power Platform and Copilot Architect with hands-on experience in creating enterprise grade Power Platform applications, autonomous agents, AI assistants and Generative AI solutions using Microsoft cloud. This role will collaborate with our strategic customers to help them envision, plan and design innovative solutions to connect … solutions using Microsoft Copilot Studio that integrate with Microsoft 365, Azure, and enterprise systems. Application Development : Architect, design, and develop scalable enterprise applications using Microsoft Power Platform and Azure. Agent Development & Customization: Create and configure custom Copilot agents tailored to specific business needs. Extend Copilot capabilities using plugins, APIs, and enterprise data connectors. Customer Engagement : Understand customer requirements and More ❯

more sustainable, more inclusive world. Your Role Capgemini is looking for Microsoft Power Platform and Copilot Architect with hands-on experience in creating enterprise grade Power Platform applications, autonomous agents, AI assistants and Generative AI solutions using Microsoft cloud. This role will collaborate with our strategic customers to help them envision, plan and design innovative solutions to connect … solutions using Microsoft Copilot Studio that integrate with Microsoft 365, Azure, and enterprise systems. Application Development : Architect, design, and develop scalable enterprise applications using Microsoft Power Platform and Azure. Agent Development & Customization: Create and configure custom Copilot agents tailored to specific business needs. Extend Copilot capabilities using plugins, APIs, and enterprise data connectors. Customer Engagement : Understand customer requirements and More ❯

Agentic AI Engineer to join their high-impact AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact … an opportunity to do it at scale—with the freedom to experiment and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit … notice period ideally The Package: £100,000 - £120,000 base salary Annual bonus Private medical & pension Cutting-edge tooling, training & innovation support If you're looking to build intelligent agent-based systems at the forefront of AI innovation, get in touch with Connor Smyth at Anson McCade on 020 7780 6706 to learn more. More ❯

Agentic AI Engineer to join their high-impact AI engineering team. This role is at the cutting edge of applied LLM development—rapidly prototyping intelligent systems that leverage autonomous agents, reasoning workflows, RAG pipelines, and real-time semantic search. You’ll work across frameworks like LangChain, LangGraph, CrewAI, and LangFlow, designing smart, multi-step agents that can interact … an opportunity to do it at scale—with the freedom to experiment and innovate. As a Generative & Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit … notice period ideally The Package: £100,000 - £120,000 base salary Annual bonus Private medical & pension Cutting-edge tooling, training & innovation support If you're looking to build intelligent agent-based systems at the forefront of AI innovation, get in touch with Connor Smyth at Anson McCade on 020 7780 6706 to learn more. More ❯

Social network you want to login/join with: Power Platform and Copilot Agent Architect, slough col-narrow-left Client: Capgemini Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Power Platform and Copilot Agent Architect Get The Future You … more sustainable, more inclusive world. Your Role Capgemini is looking for Microsoft Power Platform and Copilot Architect with hands-on experience in creating enterprise grade Power Platform applications, autonomous agents, AI assistants and Generative AI solutions using Microsoft cloud. This role will collaborate with our strategic customers to help them envision, plan and design innovative solutions to connect … solutions using Microsoft Copilot Studio that integrate with Microsoft 365, Azure, and enterprise systems. Application Development : Architect, design, and develop scalable enterprise applications using Microsoft Power Platform and Azure. Agent Development & Customization: Create and configure custom Copilot agents tailored to specific business needs. Extend Copilot capabilities using plugins, APIs, and enterprise data connectors. Customer Engagement : Understand customer requirements and More ❯