6 of 6 Permanent Linear Algebra Jobs in London

equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.) Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks ...

experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue ...

experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue ...

Java, or other high-performance languages is a plus. Knowledge of derivatives, options pricing, volatility modeling, or quantitative finance. Solid understanding of probability, statistics, linear algebra, and optimization. Experience working with large datasets and writing efficient data analysis code. Strong problem-solving skills with exceptional attention to detail. ...

deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual ...

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 ...