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- Tasks: Join our Earth Observation team to develop innovative solutions for the oil & gas industry.
- Company: Energy Aspects is a diverse company passionate about leading products in the energy sector.
- Benefits: Enjoy competitive pay, bonuses, private health insurance, gym memberships, and generous holidays.
- Why this job: Work on impactful projects while growing your skills in a supportive, global environment.
- Qualifications: 5+ years in image processing, advanced Python skills, and experience with ML models required.
- Other info: This is a remote UK-based role with a 2-year fixed-term contract.
The predicted salary is between 48000 - 84000 £ per year.
Energy Aspects currently have an exciting opportunity available for a Senior Machine Learning Engineer to join our Earth Observation team.
The role offers a rare opportunity to work on developing novel products for the oil & gas industry. You will develop and manage 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
- Manage and 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
Requirements:
- 5+ years\’ experience in applying image processing/computer vision to practical business applications
- Experience managing product development
- Practical experience with ML models for image processing tasks (object detection, image segmentation)
- Advanced Python skillset, familiar with object-oriented development and software development best practices
- Expert knowledge of the Python modules: GDAL, OpenCV, Numpy, Scikit-Learn, Matplotlib, Pandas, GeoPandas
- Practical experience with geographical data analysis and GIS software
- Degree in an engineering or quantitative subject
- Excellent communication skills, experience working alongside and presenting to senior leadership
Desirable Skills:
- 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
Please note that this is a UK-based remote role with a fixed-term contract of 2 years.
Job 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 team.
We recognise your contribution with a competitive compensation package that includes annual bonuses, comprehensive private health insurance, and substantial pension contributions. Additionally, we offer subsidised gym memberships, and a generous holiday policy to support your financial and personal well-being.
Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.
Senior Machine Learning Engineer - Earth Observation - Remote UK employer: Energy Aspects
Contact Detail:
Energy Aspects Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - Earth Observation - Remote UK
✨Tip Number 1
Make sure to showcase your experience with image processing and computer vision in your discussions. Highlight specific projects where you've applied these skills, especially in the context of the oil & gas industry.
✨Tip Number 2
Familiarize yourself with Earth Observation data and its applications in the oil & gas sector. Being able to discuss relevant use cases will demonstrate your understanding of the industry and how your skills can contribute.
✨Tip Number 3
Prepare to discuss your project management experience. Be ready to explain how you've taken ideas from concept to proof-of-concept, emphasizing your ability to work pragmatically and communicate effectively with stakeholders.
✨Tip Number 4
Brush up on your knowledge of the Python modules mentioned in the job description. Being able to speak confidently about your proficiency with GDAL, OpenCV, and others will set you apart as a strong candidate.
We think you need these skills to ace Senior Machine Learning Engineer - Earth Observation - Remote UK
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Machine Learning Engineer position. Understand the key responsibilities and required skills, especially focusing on Earth Observation applications and image processing.
Tailor Your CV: Customize your CV to highlight relevant experience in machine learning, image processing, and project management. Make sure to emphasize your technical skills with Python and any specific libraries mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the oil & gas industry and your experience with Earth Observation data. Discuss how your background aligns with the company's goals and how you can contribute to their projects.
Highlight Communication Skills: Since effective communication with senior leaders is crucial for this role, provide examples in your application of how you've successfully communicated complex technical topics in previous positions.
How to prepare for a job interview at Energy Aspects
✨Showcase Your Technical Skills
Be prepared to discuss your experience with image processing and computer vision in detail. Highlight specific projects where you've applied ML models for tasks like object detection and image segmentation, and be ready to explain the technical challenges you faced and how you overcame them.
✨Communicate Effectively
Since the role involves working with senior leaders, practice articulating complex technical concepts in a clear and concise manner. Use examples from your past experiences to demonstrate how you captured requirements and translated them into practical solutions.
✨Demonstrate Project Management Experience
Discuss your experience managing product development from idea to proof-of-concept. Be ready to share specific examples of how you organized projects, collaborated with teams, and delivered results under tight deadlines.
✨Familiarize Yourself with Earth Observation Applications
Research the oil & gas industry and understand how Earth Observation data can be utilized to solve real-world problems. Being knowledgeable about current trends and challenges in this field will help you stand out as a candidate who is genuinely interested in the role.
