Software Engineer - Python

CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to more efficiently and responsibly solve complex natural resource, environmental and infrastructure challenges.

Job Description

Our geoscience solutions bring together the expertise of our many exceptional people - geophysicists, geologists, data scientists, geospatial experts, reservoir specialists and more – to deliver fresh insight and tackle the complex challenges faced by our E&P clients. 

CGG Data Hub are looking for someone with extensive experience in productionising machine learning models. You will work with machine learning engineers to successfully integrate models into our products and you will establish and develop appropriate infrastructures for monitoring models in production. You will collaborate with subject matter experts to build tools for accelerating workflows internally. The ideal candidate will have experience with working with large datasets with distributed computing. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.

Team Description 
Data hub is a growing and dynamic team providing leading edge technology solutions and services to solve our clients data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration.
You will be working in an open and collaborative environment, working alongside our teams of data engineers, machine learning engineers and subject matter experts.

You can be based remotely or in one of our hub locations (North Wales or Crawley).

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Qualifications

Educated to a degree level, Masters or PhD, with the following skills:

- Experience with Python

- Familiar with handling datasets involving text and images

- Understanding of software engineering practices, git, unit tests, CI/CD

- Experience with deploying machine learning models into production

- Experience with Kubernetes, docker

- Experience with a workflow management platform (e.g. Kubeflow or Airflow)

- Experience with cloud services (e.g. Azure, GCP, AWS)

- Familiar with Linux

Desirable:

- Experience with Kafka

- Experience with Neo4j or other graph databases

- Experience with another language other than Python

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 (up to 10%)

• 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!

• Employee Assistance Programme

• Flexible Private Medical & Dental care programmes

• Sponsorship of visas/comprehensive relocation packages

We are Flexible

• Flexible Working – through our hybrid working scheme, we offer a flexible blend of home and office working

• 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

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.

Create a brighter future for yourself

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit your specific needs, to aid personal growth in areas related to both technical and personal skills.  This is facilitated through an extensive suite of CGG developed courses.

Join us and share your talent and imagination to ‘see things differently’!

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.

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.