Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Engineer - Earth Observation - Remote UK

Energy Aspects
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Head of Data Science

Head Of Data Science

Data Architect (Trading)

Head of Data Science

Principal, AI Data Scientist (Remote)

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.