26 to 50 of 102 Multi-Agent System Jobs in the UK

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 ❯

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 ❯

AI-powered solutions. You will focus on pioneering novel research in GenAI, designing intelligent, self-service systems that integrate state-of-the-art LLMs, multi-agent systems, and human-AI interaction frameworks. You will contribute to the advancement of responsible AI, addressing challenges in AI safety, robustness, explainability, and alignment … OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS! Key job responsibilities - Conduct applied research in LLMs and multi-agent systems, driving innovation from prototyping to production. - Develop and deploy state-of-the-art Generative AI models to solve complex problems in automation, optimization More ❯

decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory & Personalization: Develop solutions to enhance …/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return: Make your day work More ❯

AI solutions into Hiya's products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence. What You'll Do Integrate AI solutions into existing products and More ❯

Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal … ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning … Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent More ❯

our growing team focused on building intelligent, customer-facing AI agents. In this role, you'll leverage cutting-edge technologies, from large language models to multi-agent orchestration framework, to create high-impact AI solutions that directly interact with users. You'll also embrace the power of AI-assisted development to boost … CI/CD tools and DevOps best practices. Experience using AI tools like GitHub Copilot to enhance software development productivity. Nice to Have: Experience developing multi-agent systems or autonomous reasoning workflows. Familiarity with front-end tools like React or Next.js for end-to-end integration. Understanding of responsible AI principles More ❯

and ML pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A, and principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform More ❯

pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform More ❯

pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform More ❯

pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform More ❯

language-model agents into a seamless personal productivity assistant. About the role Our AI Product team is looking for an engineer who obsesses over making multi-agent systems robust, observable, and continuously improving . You'll build the test harnesses, evaluation pipelines, and monitoring layers that keep dozens of collaborating agents … B tests, cost-latency trade-off studies, and rollback safeguards as part of the dev cycle. It would be great if you have: Experience scaling multi-agent planners or tool-using agents in real products. Familiarity with vector databases, semantic diff tooling, or RLHF/RLAIF pipelines. A knack for weaving human More ❯

way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic sites in Gothenburg (Sweden) or Macclesfield (UK … . Accountabilities: Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi … computer science, data science, artificial intelligence, machine learning or related fields. Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on More ❯

optimisations . This is an opportunity to bridge cutting-edge AI research and real-world applications . Responsibilities: Conduct applied research on LLM-based reasoning, multi-agent systems and developing frontier bespoke models for automating legal workflows. Develop prototypes and experimental models to explore novel AI-driven legal solutions. Design and … multi-step legal workflows. Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Qualifications: Strong background in AI research, applied machine learning, and NLP More ❯

building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti-money laundering More ❯

building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti-money laundering More ❯

machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing More ❯

Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production, specifically for LLM/AI workloads. Some experience with agentic AI architectures and multi-agent systems is beneficial. Demonstrated ability to balance technical excellence with business requirements and time constraints Apply Because You Want to... Join a company on More ❯

We specialize in cloud-first, full-stack agentic systems and applications. Our expertise spans multi-agent workflows, cloud architectures, DevOps, and cutting-edge frontend experiences—ranging from stunning animations to dynamic chat interfaces. We are looking for a Full Stack Developer to join our team and build powerful, scalable, and visually … engaging applications. Key Responsibilities: - Design, develop, and deploy cloud-native, full-stack applications optimized for multi-agent systems. - Implement and optimize multi-agent workflows that handle complex automation and decision-making processes. - Architect scalable backend systems using cloud services and serverless technologies. - Build … frameworks like Django, FastAPI, or Flask. - Experiences with RabbitMQ. - Cloud-Native Architectures: Experience with AWS, GCP, or Azure, including serverless computing, Kubernetes, and distributed systems. - Multi-Agent Systems & Automation: Understanding of multi-agent architectures, orchestration, and automation frameworks. - DevOps & Infrastructure: Familiarity with CI More ❯

AI Engineer to join its London-based team in a hybrid capacity. This is a unique opportunity to work on the next generation of intelligent, multi-agent systems, contributing directly to the advancement of agentic AI and generative models. The company has recently secured significant funding and is expanding rapidly, offering … -layered artificial intelligence solutions that push the boundaries of what is possible. Your day-to-day activities will involve architecting robust multi-agent systems using state-of-the-art frameworks while collaborating with talented colleagues from diverse backgrounds. You will be responsible for translating theoretical advances into … industry-leading platform that is setting new standards for intelligent automation. Design, develop, and implement sophisticated artificial intelligence systems with a particular focus on multi-agent architectures and advanced techniques such as prompt optimisation and reinforcement learning from human feedback. Collaborate closely with cross-functional teams to integrate innovative AI solutions More ❯