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Machine Learning Engineer - 2020 Programme

Job details
Posting date: 14 November 2019
Hours: Full time
Closing date: 14 December 2019
Location: Crawley, West Sussex
Company: CGG Services (UK) ltd
Job type: Permanent
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Summary

Company Description

A Technology Company with a Passion for Innovation

CGG is a pioneering Technology Company providing world-class fully integrated Geoscience services within the global energy sector. We employ in excess of 5,300 people worldwide, who bring a unique blend of talent and energy through working together to deliver unrivalled innovative solutions to our customers.

Through our cutting-edge Technology in Geoscience and customer focus, we have achieved outstanding leadership with a strong focus on innovation and a commitment to delivering the best sustainable solutions to our clients' energy challenges. We bring our clients a unique range of technologies and services, designed to generate stunning 3D images, geological data and remote sensing information of the Earth’s subsurface structures.
Job Description

Become Part of our Team

We are looking for experienced and talented individuals to join our largest European centre, based in South-East England, operating across a diverse global market with high profile international customers.

As a Machine Learning engineer, you’ll play a vital role in the continual development of our geoscience analytic techniques. You will work closely with researchers, the software development group and the scientists in our geoscience teams to implement machine learning and deep learning solutions. You will be working with our Geoscientists to validate the potential opportunities for machine learning techniques, prepare data for training and testing, designing the model, training the model and deploying in production. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts, to maintain our outstanding leadership position for technology and service delivery in the market place.
Qualifications

You are likely to be educated to a PHD degree level in any of the following disciplines but a combination of education and experience will be considered; Computer Science, Mathematics, Physics or similar.

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