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Viridien

Machine Learning Engineer - Agentic AI & Reinforcement Learning

Crawley
Posted about 21 hours ago
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Viridien

www.viridiengroup.com

Viridien 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.

Are you interested in working on real world data like no other?

Viridien is expanding its capabilities in agentic AI, large language models and reinforcement learning for complex scientific and enterprise workflows.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 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

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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.

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.

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.

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.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
PyTorch
JAX
TensorFlow
Agentic AI
Reinforcement Learning
Large Language Models
Multi-agent systems
LangGraph
AutoGen
DPO
GRPO
PPO
RLHF
Model Context Protocol
GPU Computing

Location

Crawley, England, United Kingdom

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