1 to 11 of 11 Linear Algebra Jobs in England

or related field Minimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development more »

years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven more »

or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication more »

to be more creative more easily in Gravity Sketch. Requirements Bachelor s degree in fields related to Computer Science, Physics, Mathematics Extensive knowledge of linear algebra concepts (vector and matrix math, numerical solvers) and 3D computational geometry Strong hands-on experience in writing, testing, and maintaining efficient C more »

a related discipline. Academic skills: probability theory (including stochastic processes) statistics (time series analysis, process estimation) numerical methods (interpolation, integration, regression, root-finding, optimization, linear algebra, Monte-Carlo) Fixed Income financial mathematics Experience: 4-6+ years of experience in pricing complex derivatives and performing advanced statistical analysis more »

skills Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience) Knowledge of UNIX Understanding of linear and mixed integer programming, and convex optimisation Experience with at least one commercial or open-source optimisation library or a mathematical modelling language Understanding … of financial derivatives, margin and counterparty credit risk measures A solid mathematical background (numerical methods, linear algebra, partial differential equations, probability & statistics) Knowledge of AWS This role is a hybrid working role, with a blended approach of home and office working. Quantile is an Equal Opportunity Employer. LSEG more »

and model deployment. Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications. Strong knowledge of linear algebra, calculus, and statistics. Passion for applying ML research to real-world problems. Nice to have: Authorship of publications in peer-reviewed conferences more »

and model deployment. Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications. Strong knowledge of linear algebra, calculus, and statistics. 4+ years of experience using ML and scientific computing frameworks. Passion for applying ML research to real-world problems. more »

used to partition, optimize, and run large-scale machine learning models across multiple TPU/GPU accelerators for internal and external customers. The Accelerated Linear Algebra (XLA) Horizontal Scaling team's software stack includes the XLA Single Program Multiple Data (SPMD) practitioner, collective and scheduling optimizations, and code more »

Development Knowledge, particularly ReactJS + ThreeJS. Experience developing software for hardware systems, especially robotic systems. Background in Agile methodology. Strong mathematical background, particularly in linear algebra and robot kinematics. We look forward to discussing this exciting opportunity with you further more »

Computer Science/Engineering or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Knowledge of linear algebra equivalent to at least first-year university level Strong computer science and engineering fundamentals (e.g., OS, Compiler) Familiarity with software engineering practices more »