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Machine Learning Engineer - Earth Observation

Energy Aspects
London
5 months ago
Applications closed

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Machine Learning/AI Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer, London

Machine Learning Engineer, London (Basé à London)

Machine Learning Engineer - Up to £150k + Equity

Description

Energy Aspects currently have an exciting opportunity available for a Machine Learning Engineer to join our Earth Observation team, based out of our London office. 
 
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 
Desirable Skills:
  • 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 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!

Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.

Energy Aspects is a data & intelligence company that provides analysis of energy markets. We offer our clients in-depth coverage of market fundamentals, price movements and the geopolitical context. All of our research is independent and draws on our extensive proprietary data models and network of contacts within the global oil and gas industry.

Our goal is to provide strategic advice, based on data models and objective analysis, to each of our customers. We offer a selection of subscription services, spanning our products, to meet the needs of different client groups.

We are proud to be an equal opportunity employer and promote diversity within our workforce. As an international business we are determined that suitably qualified persons will never receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any other basis covered by appropriate law.

National AI Awards 2025

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