Software Engineer Intern (12 months)

Schlumberger Limited; Cambridge; Remote; GBP 21,000 - 28,000; Full time

Job summary

Schlumberger Limited invites applications for a Software Engineer Intern (12 months) starting Summer 2027 at the Cambridge, UK site. The role focuses on machine learning for future energy applications within SLB Cambridge Research.

You will join the Systems and Processes team to explore ML, optimization, and AI techniques applied to energy tech, with guidance to scope and run independent projects.

Qualifications

• Undergraduate student in CS/AI/Physics or related field.
• Solid software development skills in Python or C/C++.
• Interest in AI, ML, and energy applications.

Responsibilities

• Work on ML/AI-driven energy technology projects.
• Contribute to ongoing research and development in Machine Learning for energy systems.
• Explore CS, ML and AI techniques beyond current coursework.
• Define and scope own project with guidance from mentors.
• Present progress and results to interns and stakeholders.

Skills

Python

C/C++

AI/ML interest

Education

Bachelor's in Computer Science/AI/Physics

Job description

IT & Digital Technology, Engineering and Manufacturing, Supply Chain and Logistics

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,multidisciplinaryenvironment 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.

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.

You will learn:

• How to scope and manage your own time and project(s)
• 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.

We believe your best work comes from feeling supported, empowered, and connected – wherever you are in your journey. We’re committed to providing you with the resources and culture to help you belong, advance, and succeed.

Culture and Values

For more than 100 years, we’ve been at the forefront of energy innovation; solving problems considered impossible while building a safe and inclusive culture.

We support our people where and when they want to grow by making continuous learning a key priority.

Get an inside look at how we attract, evaluate, and hire exceptional people globally.

Find quick answers to common questions about roles, teams, and the application process.

We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.

Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

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.

We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact [e-mail] to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.