76 to 100 of 132 Multi-Agent System Jobs in England

systems with immediate, measurable impact The role Build production-grade RAG pipelines across complex unstructured data Design and deploy multi-agent AI systems and orchestration frameworks Integrate LLMs across OpenAI, Anthropic, and open-source ecosystems Develop semantic search, vector database ...

establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design … teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions ...

delivery of agentic AI solutions using GCP, Vertex AI and Gemini. Design agent workflows and multi-agent architectures, integrating them with existing business systems. Define how solutions are monitored and ensure they are secure, scalable and reliable. Work … with the ability to explain your decisions and lead delivery. Practical experience with agent design patterns, multi-agent systems and monitoring. Confident communication with clients and technical teams. Experience in customer service or contact centre transformation. Salesforce ...

London. The successful candidate will have 6+ years of software engineering, strong Python skills, and hands-on experience with multi-agent AI systems and LLM #J-18808-Ljbffr ...

Deployed Architect to join our Professional Services team. You will design, deploy, and optimize production-grade AI infrastructure and multi-agent systems for enterprise customers. This role blends software development, infrastructure engineering, and customer-facing work across Kubernetes, cloud platforms ...

GenAI applications across Azure or GCP. You’ll work end-to-end on full-stack GenAI projects, implement RAG pipelines, multi-agent systems and deliver robust, auditable AI products with strong engineering practices. #J-18808-Ljbffr ...

Applied Artificial Intelligence Engineers to join multiple positions. You will build and ship agentic AI systems in production, designing multi-agent pipelines and integrating large language models and vision-language models into real workflows for defence and national security customers. This ...

hands-on experience and solid understanding of machine learning and deep learning methods Hands on experience building agentic AI/multi-agent systems within regulated or compliance-driven environments Recent hands-on experience training, deploying models and pipelines Ability to design ...

experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI or multi‐agent systems in regulated or compliance-driven environments Recent hands‐on experience training and deploying models and pipelines Ability to design experiments ...

extrinsic metrics for model performance aligned with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical ...

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 ...

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. ...