Machine Learning Engineer/Researcher - 2024 Programme

Crawley, United Kingdom

CGG

CGG provides data, products and services in Earth science, data science, sensing and monitoring for a wide range of industries.

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Company Description

CGG (www.cgg.com) is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who have a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges.

Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration.

Qualifications

  • Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field
  • Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus
  • Skilled in object-oriented programming using Python.
  • Familiar with PyTorch or other machine learning frameworks
  • Excellent problem-solving skills
  • Strong communication skills, both written and verbal

Additional Information

Why work at CGG?

  • 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
  • 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

Learning and Development

At CGG, you will have the space to grow at the pace of your passion and explore the opportunities available to those who dare and deliver.

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs our employees to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of CGG developed courses, managed through our own Learning Hub. 

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.

#LI-Hybrid

#LI-MF1

 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Computer Vision HPC LLMs Machine Learning NLP OOP PhD Python PyTorch Statistics

Perks/benefits: Career development Competitive pay Fitness / gym Health care Medical leave Salary bonus

Region: Europe
Country: United Kingdom
Job stats:  54  10  0

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