Leave us your email address and we'll send you all the new jobs according to your preferences.
Machine Learning Engineer - Earth Observation
Posted 5 days 8 hours ago by Energy Aspects Ltd.
Permanent
Full Time
Other
Not Specified, United Kingdom
Job Description
Machine Learning Engineer - Earth Observation
Description Energy Aspects currently have an exciting opportunity available for a Machine Learning Engineer to join our Earth Observation team, based remotely in the UK. The role offers a rare opportunity to work on developing novel products for the oil & gas industry. You will take part in developing projects that make use of Earth Observation data and are applied to solve problems in the oil & gas industry. You will turn ideas into project plans, technical specifications and personally develop rapid proof-of-concept implementations using your strong technical skillset.
Key Responsibilities
Skills, Knowledge and Expertise
Benefits Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are.
Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse teams.
Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.
Department: Data Analytics
Employment Type: Fixed Term - Full Time
Location: Remote - UK
Reporting To: Nikos Argyropoulos
Description Energy Aspects currently have an exciting opportunity available for a Machine Learning Engineer to join our Earth Observation team, based remotely in the UK. The role offers a rare opportunity to work on developing novel products for the oil & gas industry. You will take part in developing projects that make use of Earth Observation data and are applied to solve problems in the oil & gas industry. You will turn ideas into project plans, technical specifications and personally develop rapid proof-of-concept implementations using your strong technical skillset.
Key Responsibilities
- Work with internal or external oil & gas experts to develop end-to-end EO applications
- Develop projects from idea into proof-of-concept working solutions quickly and pragmatically
- Effectively communicate with senior leaders on technical topics, capturing requirements with ease and translating into practical solutions
Skills, Knowledge and Expertise
- 2+ years' experience in applying image processing/computer vision to practical business applications
- Practical experience with ML models for image processing tasks (object detection, image segmentation)
- Intermediate or above Python skillset, familiar with object-oriented development and software development best practices
- Working knowledge of the Python modules: GDAL, OpenCV, Numpy, Scikit-Learn, Matplotlib, Pandas, GeoPandas
- Excellent communication skills, experience working alongside and presenting to senior leadership
- Practical experience with geographical data analysis and GIS software
- Experience with version control, DevOps, and testing
- Experience in using relational databases, especially PostgreSQL using SQLAlchemy
- Experience with cloud platforms such as AWS, Google Cloud Platform
- Experience in Deep Learning, or other AI domains
Benefits Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are.
Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse teams.
Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.
Energy Aspects Ltd.
Related Jobs
Sr. Principal Professional Services Consultant
- 125 000,00 € - 150 000,00 € Annual
- Paris, France
FID Business Control Unit Vice President (Paris)
- 100 000,00 € - 125 000,00 € Annual
- Paris, France
Consultant, Operations - Procurement
- Berlin, Germany
Consultant, Operations - Procurement
- Baden-Württemberg, Stuttgart, Germany, 70173
Consultant, Operations - Procurement
- Nordrhein-Westfalen, Düsseldorf, Germany, 40210