5 of 5 Linear Algebra Jobs in the UK excluding London

with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant More ❯

experience with frameworks such as TensorFlow , PyTorch , or scikit-learn . Proficiency in Python and familiarity with common data science libraries (NumPy, pandas, etc.). Solid grasp of statistics, linear algebra, and probability. Excellent problem-solving skills and ability to communicate complex ideas clearly. Desirable Skills Experience with deep learning architectures (CNNs, RNNs, Transformers). Familiarity with cloud More ❯

small-scale system and process improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. More ❯

in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Knowledge of financial markets Highly motivated, willing to take ownership More ❯