Machine Learning Engineer - Agentic AI & Reinforcement Learning

In this hands-on role you design, develop, and evaluate intelligent agent systems that operate on real-world data. You will shape multi- and single-agent workflows, integrate LLMs and domain tools, and turn research into production-ready software. The work supports Viridien’s mission to advance sustainable solutions through agentic AI and scalable AI applications. You will collaborate with cross-functional teams to deploy reliable, reusable AI components that solve complex scientific and enterprise problems. This is a chance to influence cutting-edge AI tooling at scale and drive meaningful impact.

• competitive salary
• bonus scheme
• 22 days annual leave
• hybrid working
• company pension
• Unmind wellbeing app

• Design and develop single-agent and multi-agent systems for complex workflows
• Build reasoning, planning, task decomposition, memory, tool-use and agent-collaboration capabilities
• Integrate LLMs, vision-language models, retrieval systems and domain-specific tools
• Fine-tune and adapt foundation models using supervised learning, preference optimisation and reinforcement learning where appropriate
• Develop training environments, reward functions, graders and feedback mechanisms
• Build evaluation, guardrail and monitoring approaches for agent reliability
• Convert prototypes into production-ready APIs, services and reusable software components

• Degree in computer science, artificial intelligence, machine learning, engineering or a related discipline, or equivalent practical experience
• Strong Python programming and software-engineering skills
• Experience developing machine-learning, generative AI or LLM applications
• Practical experience with PyTorch, JAX, TensorFlow or a similar framework
• Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration
• Knowledge of reinforcement learning, preference optimisation or sequential decision-making
• Experience designing model evaluations and translating research ideas into reliable software

• PyTorch
• JAX
• TensorFlow
• LangGraph
• AutoGen
• smolagents