12 of 12 Permanent Linear Algebra Jobs in London

software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probabilityDeep proficiency in Python; experience with R and/or C/C++ is a strong plusExtensive experience with numerical ...

cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. Good ...

systems Solid foundation in computer vision, machine learning, and statistical signal processing Solid math background with deep understanding of 3D geometry, probability, statistics, and linear algebra Ability to transform ideas into clean, fast and reliable code Attention to detail, strong desire for quality and good communication skills Minimum ...

training and serving benchmarks that are representative of Google production, industry, and the ML community, using them to identify performance opportunities, drive Accelerated Linear Algebra (XLA) Graphics Processing Unit (GPU)/Triton performance, and guide XLA releases. Engage with Google product teams like DeepMind to solve their ...

problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). Deep understanding of probability, statistics, uncertainty, linear algebra and calculus. Extensive experience working with large datasets, data preparation and machine learning workflows. Proven experience applying classification, clustering, dimension reduction ...

Electrical Engineering, Statistics, or equivalent fields. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real‐world problems. Solid grounding in probability, statistics, uncertainty, linear algebra and calculus. Experience working with large datasets, data transformation and cleaning. Experience with classification, clustering, dimension reduction and other machine learning methods. ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

enthusiastic to take on new problems across the full-stack as we continue to push technology forward. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind ...

engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs An ability to debug complex machine learning systems through meticulous attention to detail, testing ...

feature extraction from time-series or sequential data. Ability to develop and implement algorithms for real-time data processing and analysis. Strong foundation in linear algebra, geometry, and basic calculus. Good understanding of probability and statistical analysis. Good communication abilities, particularly in effectively and clearly explaining technical concepts ...