Machine Learning Engineer - Agentic AI & Reinforcement Learning in Crawley

Machine Learning Engineer - Agentic AI & Reinforcement Learning in Crawley

Crawley Full-Time No working from home possible
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Overview

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.

Pay / Benefits

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

Responsibilities

  • 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

Key requirements

  • 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

Machine Learning Engineer - Agentic AI & Reinforcement Learning in Crawley employer: CGG

At Viridien, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant area, our team enjoys a healthy work-life balance, competitive benefits, and the chance to work on cutting-edge network technologies that make a real impact globally.

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Contact Details:

CGG Recruitment Team