Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Earth Observation team to develop innovative solutions for the oil & gas industry.
- Company: Energy Aspects is a global leader in energy market analysis and insights.
- Benefits: Enjoy competitive pay, bonuses, health insurance, gym memberships, and a generous holiday policy.
- Why this job: Work on impactful projects while enjoying a vibrant, diverse workplace culture.
- Qualifications: 5+ years in image processing, advanced Python skills, and experience with ML models required.
- Other info: This is a contractor role with a fixed-term contract of 2 years.
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 contractor 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 unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team.
Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport.
Our office spaces are thoughtfully equipped to enhance your day-to-day experience whether working independently or collaborating with teammates. Enjoy the simple pleasures of a freshly brewed coffee, healthy snacks, and a social space for celebratory moments. One of the unique traits of life at Energy Aspects is the way our international colleagues often delight us with treats from around the globe. It\’s safe to say you\’ll never go hungry in our offices!
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 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
✨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 efficiently.
✨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
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Machine Learning Engineer position. Understand the key responsibilities and required skills, especially in image processing and machine learning applications relevant to the oil & gas industry.
Tailor Your CV: Customize your CV to highlight your experience with image processing, computer vision, and any relevant projects you've managed. Emphasize your technical skills in Python and the specific libraries mentioned, such as GDAL and OpenCV.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Earth Observation and how your background aligns with the company's goals. Mention specific projects or experiences that demonstrate your ability to develop proof-of-concept solutions.
Highlight Communication Skills: Since effective communication with senior leaders is crucial, provide examples in your application of how you've successfully communicated complex technical topics in previous roles. This will show your ability to translate technical requirements into practical solutions.
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 communicating 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 quickly turned ideas into working solutions, emphasizing your ability to work pragmatically under tight deadlines.
✨Familiarize Yourself with Relevant Tools
Make sure you are well-versed in the Python modules mentioned in the job description, such as GDAL, OpenCV, and Scikit-Learn. If possible, prepare to discuss how you've used these tools in previous projects, especially in relation to geographical data analysis and GIS software.
