1 to 25 of 35 Autonomous Agent Jobs in London

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 ❯

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 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 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 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 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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect and deploy intelligent … with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information retrieval, including RAG systems, vector databases, and embedding models. Capable of architecting complex, multi-step workflows with tools such as Airflow, Prefect, or Temporal. … and data extraction from research papers. Familiarity with academic or pharmaceutical research workflows. Expertise in natural language processing, particularly for scientific texts and citation networks. Key Responsibilities Develop autonomous agents capable of executing complex scientific workflows through natural language. Architect end-to-end systems that integrate platform capabilities with decision-making for advanced scientific tasks. Build pipelines for More ❯

are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect and deploy intelligent … with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information retrieval, including RAG systems, vector databases, and embedding models. Capable of architecting complex, multi-step workflows with tools such as Airflow, Prefect, or Temporal. … and data extraction from research papers. Familiarity with academic or pharmaceutical research workflows. Expertise in natural language processing, particularly for scientific texts and citation networks. Key Responsibilities Develop autonomous agents capable of executing complex scientific workflows through natural language. Architect end-to-end systems that integrate platform capabilities with decision-making for advanced scientific tasks. Build pipelines for More ❯

are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect and deploy intelligent … with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information retrieval, including RAG systems, vector databases, and embedding models. Capable of architecting complex, multi-step workflows with tools such as Airflow, Prefect, or Temporal. … and data extraction from research papers. Familiarity with academic or pharmaceutical research workflows. Expertise in natural language processing, particularly for scientific texts and citation networks. Key Responsibilities Develop autonomous agents capable of executing complex scientific workflows through natural language. Architect end-to-end systems that integrate platform capabilities with decision-making for advanced scientific tasks. Build pipelines for 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 ❯

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 ❯

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 ❯

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 ❯