1 to 25 of 48 Autonomous Agent Jobs in London

automation, and user experience. Key Responsibilities AI-Driven Architecture: Design and implement RAG pipelines that enhance platform intelligence and content retrieval Agentic AI Integration: Develop and fine-tune autonomous agents for workflow automation, intelligent decisioning, and user engagement Domain Modelling: Leverage understanding of CRM workflows and finance/savings data models to inform product features Data Strategy: Work 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 ❯

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 ❯

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 you'll … more sustainable, more inclusive world. Your Role Capgemini is looking for Microsoft Power Platform and Copilot Architects 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 ❯

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 ❯

Strong understanding of AI/ML algorithms, data science, and machine learning principles. Experience with rapid prototyping of data science 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 large language models (LLMs). Proficiency in Python More ❯

of AI/ML algorithms, data science, and machine learning is essential. 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 ❯

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 ❯

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 ❯

that powers advanced generative and agentic AI systems. You'll play a critical role in enabling fast-paced prototyping and deployment of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud … and vector database integrations. Implement retrieval-augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance … alongside ML or AI teams in a research-heavy, experimentation-focused environment A detail-oriented, systems-thinking approach to infrastructure and data modelling Nice to Have: Experience with multi-agent architectures or autonomous agents Understanding of responsible AI practices, including prompt injection prevention and data privacy Experience with Google Vertex AI, Amazon Bedrock, or Azure AI Studio More ❯

that powers advanced generative and agentic AI systems. You'll play a critical role in enabling fast-paced prototyping and deployment of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud … and vector database integrations. Implement retrieval-augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance … alongside ML or AI teams in a research-heavy, experimentation-focused environment A detail-oriented, systems-thinking approach to infrastructure and data modelling Nice to Have: Experience with multi-agent architectures or autonomous agents Understanding of responsible AI practices, including prompt injection prevention and data privacy Experience with Google Vertex AI, Amazon Bedrock, or Azure AI Studio 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 ❯

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 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 ❯

how millions interact with what we believe is one of the first companies bringing true AI transformation to home moving. What you will build: Build our Autonomous Agent Network : Design and implement a distributed system of specialized AI agents that collaborate to handle complex, multi-step processes. ML Ops & Deployment : Build robust deployment pipelines for AI models 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 ❯

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 ❯

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 ❯

Co Founder/Founding Engineer, you’ll lead engineering as we productise the role of an Buy Side M&A — turning scattered calls, decks, and spreadsheets into intelligent, persistent agent workflows that get smarter over time. This isn’t just prompt-chaining. You’ll design and own: Autonomous agents that can reason, plan, and execute over multi … chat, file handling, enrichment tools, and decision logic This is a ground-floor opportunity to define both the architecture and the product DNA. What you'll be building: 1. Agent Infrastructure Build robust agent flows using Claude + n8n (multi-turn, tool-using, context-aware) Solve failure points in prompt injection, webhook logic, and payload parsing Orchestrate tool … use across workflows (e.g. buy-side sourcing, sell-side preparation) 2. Memory, Privacy & Data Isolation Architect persistent memory for long-form agent interactions (vector store + DB hybrid) Create private containers per user/project (multi-tenant security by design) Ensure session-based recall of chats, uploads, enrichment, and decisions 3. UX, Chat Interface & Tools Optimise and polish our More ❯