Machine Learning Engineer - Agentic AI & Reinforcement Learning

CGG Services (UK) Limited; Crawley; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working

2 days at home

Company pension

Private medical & dental care

Wellbeing app

Job summary

Viridien is seeking a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent systems, turning emerging AI methods into reliable, scalable solutions for real-world data.

You will work on single-agent and multi-agent workflows, integrating LLMs, vision-language models, and tools, with a focus on production-grade software and measurable reliability.

Qualifications

• Degree in computer science, AI, ML, engineering or related discipline, or equivalent practical experience.
• Strong Python programming and software engineering skills.
• Experience developing ML/LLM applications.
• Practical experience with PyTorch, JAX, TensorFlow or similar frameworks.
• Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration.
• Knowledge of reinforcement learning, preference optimization or sequential decision making.
• Experience translating research ideas into production-ready software.

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 foundation models using supervised learning, preference optimization and RL 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.

Skills

Python

ML/LLM

Agent systems

Reinforcement learning

Tool integration

Education

Bachelor's degree or equivalent

Tools

PyTorch

JAX

TensorFlow

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

We are looking for a hands‑on Machine Learning Engineer to design, develop and evaluate intelligent agent systems, turning emerging AI methods into reliable, scalable and reusable solutions for truly real world data.

About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien.

Key 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.

Experience and skills Required

• 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.

Desirable Experience

• Experience developing multi‑agent systems using LangGraph, AutoGen, smolagents or similar frameworks.


• Experience with LLM fine‑tuning, DPO, GRPO, PPO, RLHF or RLAIF.


• Experience designing reward functions, graders or agent training environments.


• Experience with Model Context Protocol and tool integration.


• Experience deploying open‑source language or vision‑language models, including distributed training or GPU computing.


• Experience applying AI to scientific, engineering, energy or geoscience workflows.

Why work with us?

• Competitive salary commensurate with experience


• Highly attractive bonus scheme


• Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program


• Hybrid working with two days at home, flexible working


• Company pension with generous employer contribution


• Wellbeing Unmind app – puts you in control of your mental health


• A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!


• Cycle purchase scheme


• Flexible Private Medical & Dental care programmes


• Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!


• Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up!


• Relaxed dress code policy

We Care about the Environment

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Learning and Development

At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

Diversity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Create a brighter future for yourself while taking on some of the world’s most complex geoscience challenges.