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

Apply Now

JR100742 Machine Learning Engineering Intern- AI Agents

CGG SA
Crawley
1 week ago
Create job alert

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.

UGFsbGF2aS5DaGF3bGEuNDkwMjUuMTIyNzFAY2dnLmFwbGl0cmFrLmNvbQ.gif

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.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has quickly become one of the most transformative forces in modern technology. What began as a subset of artificial intelligence—focused on algorithms that learn from data—has grown into a foundational capability across industries. From voice assistants and recommendation systems to fraud detection and predictive healthcare, machine learning underpins countless innovations shaping daily life. In the UK, demand for ML professionals has surged. Financial services, healthcare providers, retailers, and tech start-ups are investing heavily in ML talent. Roles like Machine Learning Engineer, Data Scientist, and AI Researcher are among the most sought-after and best-paid in the tech sector. Yet we are still only at the start. Advances in generative AI, quantum computing, edge intelligence, and ethical governance are reshaping the field. Many of the most critical machine learning jobs of the next 10–20 years don’t exist yet. This article explores why new careers will emerge, the kinds of roles likely to appear, how today’s jobs will evolve, why the UK is well positioned, and how professionals can prepare.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.