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

Apply Now

Senior Machine Learning Engineer - Earth Observation

Energy Aspects
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Description

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.
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.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.