13 of 13 Multi-Agent System Jobs in the UK excluding London

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

software collaboratively. In essence, you'll play a role akin to a tech lead for a team of intelligent coding agents . You will: Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) Write the prompts, logic, and scaffolding that guide each agent's behavior Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs Evaluate and refine agents' output, performance, collaboration patterns, and feedback loops If you were on the team last week, you might have: Prototyped a new coding assistant workflow using open-source LLMs and internal More ❯

Agent Development Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling) Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology Integration … stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI More ❯

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 … 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 More ❯

engineering, pioneering how software is designed, developed, and delivered using intelligent agentic solutions. In this Agentic AI Engineering role, the key responsibilities will include: Designing multi-agent systems with coding-focused agents, including coding, reviewing, and testing. Constructing prompts, logic, and scaffolding to guide each agent's More ❯

utilizing intelligent agentic solutions to design, develop, and deliver software. In this AI Engineering role, the key responsibilities will include: Contributing to the design of multi-agent systems with coding-focused agents (code writing, reviewing, testing) Constructing prompts, logic, and scaffolding to guide agent behavior Managing AI More ❯

dynamic environment, demonstrates initiative, and excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing … radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one another in order to improve overall situational awareness and avoid collisions in dense environments. Testing … related development tools. Expertise in Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. More ❯

Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title: Lead AI Engineer Location: Liverpool, UK Job Type: Contract More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer More ❯