Somerset, England, United Kingdom Hybrid / WFH Options
Talent
trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, appliedmathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and More ❯
numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master’s degree or Ph.D. in Computational Engineering, AppliedMathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python More ❯
numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master's degree or Ph.D. in Computational Engineering, AppliedMathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python More ❯