Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineering Intern- AI Agents - 2025 Programme

CGG SA
Crawley
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (UK)

Senior Machine Learning Engineer (UK)

Machine Learning Engineering Lead

Machine Learning Engineer - Customer Solutions

Machine Learning Engineer - AI Team (Global Digital)

Machine Learning Engineer – AI Team (Global Digital)

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.

Job details

We are seeking talented individuals with fresh perspectives and deep curiosity to join our team! As a Machine Learning Engineering Intern at the Viridien AI Lab, you'll play a key role in advancing algorithms and models in the fast-growing domain of AI agents. You will work on cutting-edge projects involving document processing, knowledge retrieval, and workflow automation using frameworks like CAMEL. This internship will offer you the chance to explore multi-agent frameworks and apply them to real-world challenges across industries.

You will collaborate with experienced engineers and data scientists to design, implement, and optimize agent-based solutions that drive high-impact business outcomes. The ideal candidate is enthusiastic about learning, adaptable to evolving priorities, and excited to work in a dynamic research environment.

Location

Successful candidates will join our largest European Centre in Crawley, near London Gatwick Airport, just outside the M25, with excellent transport links to Central London and the South Coast.

Qualifications

  • Pursuing a PhD or MSc in Computer Science, Artificial Intelligence, Data Science, or related field.

Key Skills and Experiences

  • Strong foundation in machine learning and statistics, with hands-on experience in natural language processing (NLP) or computer vision (CV); familiarity with large language models (LLMs) is a plus.
  • Understanding of AI agents and multi-agent frameworks such as CAMEL is a plus.
  • Skilled in object-oriented programming using Python.
  • Familiarity with PyTorch or similar machine learning frameworks.
  • Excellent problem-solving skills and ability to work on open-ended challenges.
  • Strong communication skills, both written and verbal

Why work with us?

Hands-on experience on high-impact AI agent projects in document processing, knowledge retrieval, and workflow automation.

Mentorship from industry experts in AI and data science.

Opportunities for professional growth and networking.

Flexible working through our hybrid scheme, blending home and office work.

Bank Holiday Swap - change your public holiday for another day of your choice!

Visa sponsorship and comprehensive relocation packages available.

Relaxed dress code policy.

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.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.