
First Light Fusion is the UK's only inertial fusion company, focused on enabling the commercialization of fusion energy. Their unique amplifier technology simplifies and accelerates the development…

First Light Fusion is the UK's only inertial fusion company, focused on enabling the commercialization of fusion energy. Their unique amplifier technology simplifies and accelerates the development…
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First Light Fusion Ltd is a pioneering UK-based fusion energy company at the forefront of developing breakthrough inertial fusion technology. At the heart of our mission is FLARE — First Light’s next-generation fusion approach designed to accelerate the path toward practical, clean, and limitless energy. By combining world-leading expertise in advanced physics, simulation & machine learning, and innovative engineering, FLARE represents a bold step forward in delivering scalable fusion solutions.
Alongside our fusion program, First Light Fusion also delivers commercial services and partnerships applying our simulation tools and hydrodynamic amplification technology to solve complex challenges across a range of advanced industries.
Joining First Light Fusion means being part of an ambitious team shaping one of the most exciting energy transformations of our time.
Job Description
We are looking for a skilled and enthusiastic scientist to join our Data-Driven Engineering Team, who is interested in applying data science and machine learning to physics and engineering problems. The position is available at the scientist level, but we may consider exceptional candidates at the senior scientist level.
You will have practical knowledge of the application of statistics and machine learning to scientific data analysis and simulation-based modelling. You will collaborate with a highly skilled team of physicists and engineers to develop and implement ML tools that will inform critical decisions about our fusion targets and hydrodynamic amplifier technology. First Light Fusion operates its own experimental and manufacturing facilities, enabling us to move quickly and innovate. This will allow you to test your models quickly against real data within the design cycle, enabling time-critical decisions to be made. Additionally, you will support the ongoing development of our data science software stack by researching and implementing leading-edge ideas in machine learning and applied statistics. You will have the opportunity to communicate your work at conferences and in publications.
Accountabilities and deliverables:
Core skills, knowledge and attributes:
Essential
Desirable
ML surrogates, including uncertainty-aware models, such as Gaussian Processes
Optimization methods such as evolutionary strategies and Bayesian optimization
Bayesian inference and its application to model calibration and uncertainty quantification
Package