skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. If you want to lead Machine Learning innovation from concept to impact and be part of More ❯
architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agentsystems, contributing to both theoretical innovation and practical applications. Key Responsibilities • Conduct research on AI foundation models to enhance reasoning and data-driven analytical … diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … as TensorFlow and PyTorch, with the ability to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in More ❯
architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agentsystems, contributing to both theoretical innovation and practical applications. Key Responsibilities • Conduct research on AI foundation models to enhance reasoning and data-driven analytical … diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … as TensorFlow and PyTorch, with the ability to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Sanderson
systems that support reasoning, planning, and decision-making. Collaborate with cross-functional teams to identify AI opportunities within government and public-sector services. Prototype multi-agentsystems, reasoning loops, and knowledge graph integrations. Implement and fine-tune LLM-based models for automation and data insight generation. Evaluate and integrate open … understanding of AI, machine learning, and autonomous systems (MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation More ❯
systems that support reasoning, planning, and decision-making. Collaborate with cross-functional teams to identify AI opportunities within government and public-sector services. Prototype multi-agentsystems, reasoning loops, and knowledge graph integrations. Implement and fine-tune LLM-based models for automation and data insight generation. Evaluate and integrate open … understanding of AI, machine learning, and autonomous systems (MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation More ❯
AI & Data Science vision and roadmap , aligned with business priorities. Provide technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agentsystems). Predictive Analytics & Time-Series Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI More ❯
Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash/Go for automation. Familiarity with AWS core services (EC2, VPC, IAM More ❯
Focus: Design, develop, and deploy ML models and data pipelines to solve business problems. Work with large datasets to build predictive models and insights. Develop Multi-AgentSystems with effective use of different patterns, hierarchies, and communication protocols. Experiment with different ML techniques, from traditional algorithms to deep learning and reinforcement … to work autonomously and take initiative in driving projects to completion. Experience with agile methodologies and working in a collaborative, fast-paced environment. Comfort with both high-level system design and hands-on coding. CTM is a Disability Confident Employer. Do not hesitate to connect with our Recruitment team if you need to discuss arrangements. CTM is the More ❯
AI-driven, technology-first organisation . Following a major modernisation program, we’ve unified multiple business units onto a single cloud-native platform , built advanced multi-agent AI systems , and are now scaling our roadmap to power the next generation of agentic applications . We’re looking for a skilled Data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Futureheads Recruitment | B Corp™
AI-driven, technology-first organisation . Following a major modernisation program, we’ve unified multiple business units onto a single cloud-native platform , built advanced multi-agent AI systems , and are now scaling our roadmap to power the next generation of agentic applications . We’re looking for a skilled Data More ❯
LLMs (ChatGPT, Claude) to support policy and business use cases. The Role Craft and refine prompts using advanced techniques (ReAct, Chain-of-Thought, ART) Build multi-agent workflows and context-aware LLM systems Advise on responsible AI practices and risk mitigation Collaborate with policy professionals and user researchers Essential Skills Proven … prompt engineering experience across multiple LLMs Multi-agentsystems and tool-augmented workflows Deep understanding of LLM failure modes and responsible AI Ability to translate technical concepts for non-technical stakeholders The Details Rate: £775/day inside IR35 Duration: Until end of Financial Year Location: London/Bristol/Manchester More ❯
LLMs (ChatGPT, Claude) to support policy and business use cases. The Role Craft and refine prompts using advanced techniques (ReAct, Chain-of-Thought, ART) Build multi-agent workflows and context-aware LLM systems Advise on responsible AI practices and risk mitigation Collaborate with policy professionals and user researchers Essential Skills Proven … prompt engineering experience across multiple LLMs Multi-agentsystems and tool-augmented workflows Deep understanding of LLM failure modes and responsible AI Ability to translate technical concepts for non-technical stakeholders The Details Rate: £775/day inside IR35 Duration: Until end of Financial Year Location: London/Bristol/Manchester More ❯
Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agentsystems, 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 ❯
quickly becoming one of the leaders in the intersection of Generative AI and Finance💸 The vision? Replace clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights. Why this role stands out: 🤖 Work directly on multi-agentMore ❯
quickly becoming one of the leaders in the intersection of Generative AI and Finance💸 The vision? Replace clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights. Why this role stands out: 🤖 Work directly on multi-agentMore ❯
defining the strategic roadmap and aligning it to business and digital transformation objectives. Architecture, Design & Governance Design secure, scalable, cloud-native architectures for autonomous and multi-agent AI systems. Define AI governance, design principles, lifecycle management, observability and interoperability standards. Ensure seamless integration of AI systems with core enterprise platforms (e.g. … Key Skills: 10+ years in IT, including 5+ years in Enterprise Architecture and 3+ years in AI/ML Hands-on expertise designing agentic or multi-agent AI systems and Generative AI solutions Strong knowledge of Azure cloud-native architecture Practical experience with Python-based agent frameworks More ❯
Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in MultiAgent Reinforcement Learning, seasoned More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Explore Group
Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in MultiAgent Reinforcement Learning, seasoned More ❯
A rapidly growing, venture-backed start-up is building an AI-first platform that automates complex workflows within the property management sector. The business develops multi-agent, AI-driven systems that interact across chat, email, and voice channels to streamline communication, scheduling, and operational efficiency for property professionals. Role Overview The … its technical function and drive the evolution of its core platform. This individual will oversee a multidisciplinary team covering AI, backend, frontend, DevOps, and QA , taking responsibility for system architecture, delivery, and scalability as the company transitions from start-up to growth phase. Key Responsibilities Lead and scale a high-performing engineering team (currently 10–12 engineers across … delivery on key technical initiatives. Establish engineering best practices across performance, reliability, and security. Oversee the design and implementation of AI-driven systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes More ❯
and scalable system design. Excellent communication and leadership skills, with the ability to influence technical direction. Desirable: Experience in computer vision, IoT, or multi-agent systems. Knowledge of observability and monitoring frameworks for AI operations. Apply now for immediate consideration. No sponsorship available; applicants must have the right to work More ❯
