National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer - Earth Observation - Remote UK

Energy Aspects
Bolton
6 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 - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

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.

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.