SLB
Software Engineer Intern (12 months)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title
Software Engineer Intern (12 months) - Starting Summer 2027
Project Title: Machine learning for future energy applications
About SLB
We are a global technology company, driving energy innovation for a balanced planet.
At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.
Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.
Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are
Location
Cambridge, UK
SLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Description & Scope
You will join the Systems and Processes team. We investigate how machine learning, optimization, and AI can be used to understand next-generation energy and thermal management systems. We use techniques like reinforcement learning, multi-objective optimization, and Bayesian methods to model the processes involved in bringing new energy technologies to market, manage uncertainty, and optimize decisions.
Responsibilities
- Bring your computer science/software background to solve challenges at SLB
- Engage with real problems we are trying to solve
- Experiment with computer science, machine learning and AI techniques beyond your current background
- Scope your own project(s) with support and guidance from us
- Sporadically present progress and results to colleagues, other interns, and stakeholders.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You Will Learn
- A great deal about industrial/commercial research
- How to scope and manage your own time and project(s)
- Presentation skills (for different audiences)
- Computer science, machine learning, and AI methods beyond your current course.
Qualifications
- Studying Bachelors in Computer Science, AI, Physics or a related discipline
- Software development skills in at least one of Python, C/C++
- Interest in research
- Interest in AI, machine learning, and related areas
- Interest in the energy industry
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London