101 to 125 of 155 Multi-Agent System Jobs in the UK

Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems … system someone can stake a decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building ...

Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems … system someone can stake a decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building ...

work, but how to make it dependable, observable and maintainable at scale. What You'll Be Doing Design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph, LangChain, Haystack or similar where appropriate. Develop orchestration … agentic systems. A demonstrable track record operating at Senior, Lead or equivalent engineering level. Commercial experience building and shipping multi-agent or agentic AI systems into production . Strong Python development skills and excellent software engineering fundamentals. Hands-on experience with ...

workloads, degraded connectivity, secure infrastructure and fully offline or air-gapped deployments. What You'll Be Doing Design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph, LangChain, Haystack or similar where appropriate. Develop … generative AI or agentic systems. A strong track record operating at Senior, Lead or equivalent engineering level. Commercial experience building multi-agent or agentic AI systems for production , rather than simply integrating existing tools. Strong Python development skills and excellent software ...

Role Purpose Provide specialist security leadership for Agentic AI, autonomous workflows, multi-agent systems and LLM-powered applications. The role will focus on protecting AI agents, tools, memory, data and orchestration layers from misuse, adversarial attacks and unintended actions. Key Responsibilities … Lead threat modelling for AI agents, tool-calling architectures, autonomous workflows and multi-agent ecosystems. Assess security risks across prompts, models, memory, retrieval, APIs, plugins, tools and identity boundaries. Conduct AI red teaming and adversarial testing for agent ...

ExTrac's AI team, building Co-Analyst and the analytical AI features around it. Co-Analyst is a user-facing multi-agent system that works alongside intelligence analysts to research and write reports. A planning loop decomposes an analyst … hard problems: an engineer who can independently deliver well-scoped features and components, and who is building towards owning more of the system end to end. What the job involves Agentic and analytical AI features Build and improve components of the agent loop itself ...

embedded within a research team, contributing directly to cutting-edge work around large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure … ambiguous research environment where priorities can change quickly. Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in ML/AI is advantageous ...

powered processes. You will own large portions of our AI agent infrastructure, designing and deploying multi-agent systems and RAG pipelines while delivering features at scale. Join a fast-growing fintech platform backed by top investors. ...

solutions for clients who want deeper understanding of how customers engage with their products and services Lead engineering teams across complex, multi‐system agentic programmes Set technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … experience in Python and similar languages across AI systems Proven track record of architecting and delivering RAG pipelines, multi‐agent systems or LLM‐based products at enterprise scale Deep hands‐on experience with at least one major cloud AI platform ...

roadmaps. Required Qualifications 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production. High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex. Hands‐on AI & Grounding Expertise: Deep … with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data. Multi‐Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent ...

difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi‐agent system in production, you have owned the eval harness, and you know what happens when your agent … engineering standards that scale across the practice and reduce ramp‐up time on new client engagements Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme‐level AI impact in business terms to senior client stakeholders #LI‐EU Required Experience Extensive ...

clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi‐system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform ...

deployment of secure, scalable, and reusable AI solutions using approved enterprise platforms and technologies. Build and integrate LLM, RAG, and multi-agent solutions using frameworks such as Semantic Kernel, LangChain, or similar. Develop and maintain AI-powered applications, APIs, and backend services. … experience developing AI-powered applications and services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering ...

deployment of secure, scalable, and reusable AI solutions using approved enterprise platforms and technologies. Build and integrate LLM, RAG, and multi-agent solutions using frameworks such as Semantic Kernel, LangChain, or similar. Develop and maintain AI-powered applications, APIs, and backend services. … experience developing AI-powered applications and services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering ...

high-value contracts, collaborating with our CTO to deliver production-grade AI for Fortune 500 procurement teams. You will design multi-agent systems, deploy LLM workflows, and connect AI agents to major procurement tools (SAP, Oracle, Coupa, GEP) while ensuring security ...

Aviva plc is seeking a Senior Applied AI Engineer to lead the end-to-end architecture for multi-agent AI systems. You will define canonical engineering patterns, build reusable toolkits, and establish governance for production AI across customer-facing and operational domains. ...

contribute to thought leadership in AI, machine learning, and data science. Technical Stack Core: Databricks (advanced ML capabilities) Strategic: Multi-agent systems Responsible AI frameworks Leadership: MLOps at scale AI governance AI strategy and roadmapping What You'll Bring: Hands ...

machine learning research. You'll be embedded in a cutting-edge team working on LLMs, RL, synthetic data, and multi-agent systems. This unusually research-heavy engineering role involves building robust infrastructure to support experiments and deploying production-quality code at scale. ...

Engineer to contribute to the delivery of production-grade AI systems across multiple UK locations. You will implement multi-agent components, prompts, and tool integrations under guidance from senior engineers, ensuring robust testing and governance. The role emphasizes practical enterprise ...

orchestration frameworks, memory architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely with product and engineering teams to embed AI into real-world business processes. Contributing to the architecture … LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions in production environments. A builder's mindset with a passion for solving ...

hiring for an elite team solving exactly that. They build agents that learn an enterprise's processes - ingesting knowledge bases, conversations, tickets and system logs, then producing instructions agents can execute, with confidence scoring that decides when to automate and when to hand back to a human. This … Able to explain your work to engineers and customers alike Bonus points for scaling LLM workflows to millions of requests, multi-agent systems in production, or building evaluation frameworks for enterprise deployments. The culture: small, deeply technical team, high hiring ...

safety analysis techniques such as STPA, SOTIF, FMECA, FTA or equivalent methods. Experience developing assurance approaches for uncrewed, robotic or multi-agent autonomous systems. Experience applying simulation, modelling, virtual testing or scenario-based assurance for autonomous systems. Knowledge of recognised functional safety ...

meter data, operational conditions, and information from neighbouring areas can be integrated to assess local network health and support more efficient and resilient system operation. The project will also examine how the configuration and coverage of monitoring systems can be improved to provide a more representative view … programme integrates expertise in areas including: Artificial intelligence and machine learning Explainable and trustworthy AI Knowledge representation and semantic technologies Multi-agent systems and intelligent decision-support systems Digital twins and smart water systems Hydroinformatics and water engineering Network ...

agents and productionizing AI models on the NEO platform. You will own delivery, people, and technical direction, drive architecture across multi-agent systems, and oversee safety, risk, and governance within production environments. #J-18808-Ljbffr ...

collaborate with product and engineering teams to influence the roadmap. You will represent cutting-edge GenAI techniques, including RAG, multi-agent systems, and fine-tuning, while traveling to meet customers every 4–8 weeks as needed. #J-18808-Ljbffr ...