14 of 14 Remote/Hybrid Linear Algebra Jobs in England

supporting 5G NR/5G Advanced/6G development and 3GPP RAN1/RAN2 standardisation activities. Candidates should bring expert-level digital signal processing, linear algebra/statistics and algorithm development experience (synchronisation, channel estimation, equalisation/MIMO detection, decoding), strong C++/OO programming, link/system … documentation for the projects assigned. Following the company's life cycle and QA procedures. Essential Experience and Knowledge: Expert-level digital signal processing skills. Linear algebra, probability theory and statistics. Experience of algorithm development (synchronization and tracking, channel estimation, equalization and MIMO detection, de-mapping and decoding ...

someone who can independently investigate complex problems, work effectively in an established codebase, and grow into broader technical leadership over time. Experience in linear algebra and/orLagrangiananalysis is highly desirable.Programming ability isrequired, but prior C++ experience is not essential.The ideal candidate will have both postgraduate/research … debuggers, performanceprofilersand memory profilers. Experience with source control systems and continuous integration/continuous developmenti.e.git and Azure DevOps. Background in one or both of: Linear algebra Lagrangiananalysis Problem solving– able to break down difficult technical and mathematical problems and develop practical, effective solutions. Critical thinking– evaluates evidence objectively ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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. ...

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 ...

Expert proficiency in C++ and C#, with a commitment to writing clean, maintainable, and efficient code. Strong 3D Maths: A firm grasp of the linear algebra and geometry that underpin cameras, character movement, animation, and gameplay systems. Unreal Engine Skills: Deep experience developing player-facing systems in Unreal ...

accelerated architectures. Optimize production-grade link modeling algorithms to increase system capacity and service sellability, leveraging advanced techniques in signal processing and linear algebra. Required Qualificiations: Bachelor’s or Master’s degree 7+years of experience with software development Proficiency in Golang, C/C++, Rust, or Java Demonstrated leadership ...