26 to 40 of 40 Multi-Agent System Jobs in the UK excluding London

Python and C#/.NET. You will collaborate with architects and clients, mentor peers, and implement guardrails, tool-calling and multi-agent orchestration in scalable Azure services. #J-18808-Ljbffr ...

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 ...

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 ...

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. ...

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 ...

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 ...

regulated environments. Expertise in Python engineering skills, including production‐grade design, testing, debugging, and performance tuning/optimization. Advanced prompt engineering capabilities, including system prompts, few‐shot prompting, tool/function calling, and schema‐constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers … scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi‐agent systems. Familiarity with LLM evaluation methodologies ...

context design, retrieval strategies, backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding … fast-paced environment. Excellent communication skills, sound engineering judgment, and a collaborative working style. Nice to have Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments ...

actions Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi‐agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriate Drives team adoption … coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skills Hands‐on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production‐grade services and tooling Proficiency with automation ...

secure, regulated environments. Expertise in Python engineeringskills, including production-grade design, testing, debugging, and performance tuning/optimization. Advanced prompt engineeringcapabilities, including system prompts, few-shot prompting, tool/function calling, and schema-constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers … acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologiesacross quality, safety, and reliability, including guardrails, content filtering, and Responsible AI practices. Proficiency in GenAI ...

tool calling, agent architecture, evaluation, grounding, orchestration. Architect and govern the Enterprise Agentic AI Strategy, deploying multi-agent frameworks and LLM-powered tools at scale. Architect and deploy enterprise-grade multi-agent ...

context design, retrieval strategies, backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding … fast-paced environment. Excellent communication skills, sound engineering judgment, and a collaborative working style. Nice to have Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments ...

authority within our newly formed function. You’ll lead the end-to-end architecture and delivery of our most complex multi-agent AI systems, while establishing the canonical engineering standards, reusable capabilities and governance frameworks that define AI across the entire … knowledge created are adopted at scale. You’ll be responsible for : Leading the end-to-end architecture and delivery of multi-agent AI systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied ...

application security, authentication, authorisation and secure software-development practices. Practical experience using AI-assisted development tools within production software delivery. Strong troubleshooting and system-design capability. Leadership and Communication Strong analytical and troubleshooting skills. Able to explain technical decisions and trade-offs clearly. Comfortable challenging unclear requirements constructively. … communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based on cost, security, privacy and task ...

Rentokil Initial is seeking a pragmatic, highly technical AI Engineering Lead to head the Agentic Factory within the Group AI Team. You will bridge business needs and technical execution, delivering production‐grade multi ...