United Kingdom, Cambridge
IT & Digital Technology, Engineering and Manufacturing, Supply Chain and Logistics
Job title
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.
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.
Description & scope
Real-world systems from industrial processes to environmental monitoring are never fully observed. Sensors fail, data arrives late, and no single measurement tells the whole story. This project explores how to intelligently combine heterogeneous, incomplete data streams while rigorously quantifying what we do not know. Using probabilistic machine learning, Bayesian inference, and uncertainty-aware neural architectures, you will build models that are honest about their own confidence producing not just predictions, but trustworthy estimates with calibrated uncertainty bounds. The result: smarter, more reliable AI for complex systems where measurement is imperfect and decisions are high-stakes.
Responsibilities
Develop methods to fuse incomplete sensor data and handle uncertainty. Build ML models that deliver both predictions and confidence levels. Gain hands-on experience with data fusion, uncertainty quantification, and applied AI.
Requirements
- Studying Bachelors in Bachelors in Data Science, ML, AI or a related discipline
- Data analysis
- Machine learning
A place to grow and thrive
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.
Professional development
We support our people where and when they want to grow by making continuous learning a key priority.
How we hire
Get an inside look at how we attract, evaluate, and hire exceptional people globally.
Frequently asked questions
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About us
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.
