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
Sheffield
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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 AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.