15 of 15 Remote Linear Algebra Jobs in England

some blog posts about your discipline, or perhaps even delivered a talk or two that you’d like to share. Skills, Knowledge and Expertise Technical skills Good understanding of linear algebra (vectors, matrices, tensors etc.) and statistics (probability distributions, probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in More ❯

experience), or equivalent experience Track record of delivery of outstanding research using deep learning techniques, including designing new ML architectures, hands-on experimentation, analysis, and visualisation Strong knowledge of linear algebra, calculus, probability, and statistics Demonstrated ability to write clean, idiomatic, and highly performant Python code Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific More ❯

build and make predictions with those models Strong understanding of machine learning approaches and algorithms (e.g. LSTM, Markov-Chain Models etc) Advanced understanding of Statistical/Probabilistic programming and Linear Algebra Be proficient in (Python, SQL) programming for Data Science and Time Series analysis Have in depth understanding of statistical modelling/ML techniques for time series forecasting More ❯

and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. The perks A flexible More ❯

of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid knowledge of basic data structures (list, vector, stack, heap), basic algorithms (sort, search, etc.) and associated time/memory asymptotic complexity. Maybe you More ❯

publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics) Experience working with biological or chemical data and biological or chemistry software More ❯

the short and long term. Strong relationship management skills and an ability to work with individuals to ensure the delivery of set objectives. Strong mathematics and numerical techniques, e.g., linear algebra, root finding, finite differences. Advanced programming skills, such as Ada, C, C++, C# and python, with experience gained in a context of quantitative research (model implementation in More ❯

comprehensive benefits package including pension, bonus, and flexible working arrangements. Responsibilities: Design and develop software applications using C# and .NET Core. Apply physics and engineering principles, including complex algorithms, linear algebra, FFT, and signal processing. Work with cloud platforms, preferably AWS, and relational databases such as SQL. Implement microservices architecture and application design best practices. Collaborate within Agile … projects focused on sustainability and innovation. Requirements: Over five years of professional experience in C# .NET development. Educational or work background in physics or engineering. Experience with complex algorithms, linear algebra, FFT, or signal processing. Proficiency with cloud services (AWS preferred), SQL/Postgres, Visual Studio, GIT. Strong communication skills and a proactive, results-oriented approach. Legal right More ❯

Master's or PhD in computer vision, robotics, or a related field. 5+ years' experience Deep knowledge of SLAM, computer vision & VIO Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or More ❯

will include: Essential PhD in computer vision, robotics, or a related field. Deep knowledge of SLAM, geometric computer vision or state estimation Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient in modern C++ development Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. More ❯

robotics & automation. Work alongside SLAM & software engineering experts to innovate in applied Spatial AI. Requirements: Strong background in geometric computer vision, state estimation, or SLAM. Expertise in optimisation, numerical linear algebra, & sensor fusion. Industrial experience in deploying SLAM solutions. Proficiency in C++. Desirable experience: PhD in computer vision or robotics. Experience with machine learning techniques for geometric & semantic More ❯

robotics & automation. Work alongside SLAM & software engineering experts to innovate in applied Spatial AI. Requirements: Strong background in geometric computer vision, state estimation, or SLAM. Expertise in optimisation, numerical linear algebra, & sensor fusion. Industrial experience in deploying SLAM solutions. Proficiency in C++. Desirable experience: PhD in computer vision or robotics. Experience with machine learning techniques for geometric & semantic More ❯

Master's or PhD in computer vision, robotics, or a related field. 5+ years' experience Deep knowledge of SLAM, computer vision & VIO Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or More ❯

Master's or PhD in computer vision, robotics, or a related field. 5+ years' experience Deep knowledge of SLAM, computer vision & VIO Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or More ❯

GPU architectures, rendering techniques, and graphics performance optimization. Experience profiling and debugging rendering issues using tools like RenderDoc, Unity Profiler, PIX, or NSight. Deep understanding of 3D math, including linear algebra and transformations. Understanding of real-time lighting, shadows, and physically based rendering (PBR). Strong software engineering skills, including clean code architecture and performance-focused development. Experience More ❯