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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 in a supportive, eclectic environment.
- Qualifications: 5+ years in image processing, advanced Python skills, and experience with ML models required.
- Other info: This is a remote UK 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 oil & gas sector, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with Earth Observation data and its applications in the oil & gas industry. Being able to discuss relevant use cases and how you can contribute to developing novel products will set you apart.
✨Tip Number 3
Prepare to demonstrate your project management skills. Be ready to talk about how you've taken ideas from concept to proof-of-concept, and how you effectively communicated with stakeholders throughout the process.
✨Tip Number 4
Since communication with senior leaders is key, practice articulating complex technical topics in a clear and concise manner. This will help you convey your ideas effectively during interviews.
We think you need these skills to ace Senior Machine Learning Engineer - Earth Observation - Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in image processing and machine learning, especially in relation to Earth Observation data. Emphasize your technical skills with Python and relevant libraries like GDAL and OpenCV.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the oil & gas industry. Discuss specific projects where you've developed proof-of-concept solutions and how they relate to the responsibilities outlined in the job description.
Showcase Communication Skills: Since effective communication with senior leaders is crucial, provide examples in your application of how you've successfully captured requirements and translated them into practical solutions in past roles.
Highlight Relevant Experience: Detail your experience managing product development and working with geographical data analysis. Mention any familiarity with cloud platforms or DevOps practices, as these are desirable skills for the position.
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 or 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 Relevant Tools
Make sure you're well-versed in the Python modules mentioned in the job description, such as GDAL, OpenCV, and Scikit-Learn. If possible, prepare a small demo or example of how you've used these tools in previous projects to showcase your hands-on experience.
