Machine Learning Engineer - Agentic AI & Reinforcement Learning

Viridien; Crawley; On-site; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

Highly attractive bonus scheme

Hybrid working with two days at home

Company pension with generous employer

Wellbeing Unmind app

Discount platform and cycles

Private Medical & Dental care

Holiday buy/sell

Relaxed dress code

Job summary

Viridien, an advanced technology, digital and Earth data company, seeks a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent systems for real-world data challenges. You will turn emerging AI methods into reliable, scalable production-ready solutions.

The role involves building single- and multi-agent systems, integrating LLMs, creating training environments, and ensuring robust evaluation and monitoring. Hybrid work with two days at home is offered.

Qualifications

• Degree or equivalent practical experience in computer science or related field.
• 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.

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.

Skills

Python programming

Software engineering

Machine-learning applications

LLM applications

Agentic AI concepts

Reinforcement learning

Model evaluation

Education

Degree in computer science or related field

Tools

PyTorch

JAX

TensorFlow

LangGraph

AutoGen

smolagents

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.