26 to 50 of 58 Linear Algebra Jobs in England

LIDAR. Experience with sensor characterisation and modelling. Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, UKF, Particle Filter). Sensor calibration. Background in linear algebra and probability/stochastic processes. Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc. Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte More ❯

experience in a technical field. A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML 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 More ❯

previously built and maintained training and inference infrastructure A robust understanding of what it takes to move from concept to production Strong experience in model training & mathematical concepts, e.g. linear algebra, greek alphabet, choice of loss functions, regularization techniques, model architecture, optimizer, learning rate schedules, etc. Thorough understanding of Python tools and libraries, keen to offer advice on More ❯

ML techniques and infrastructure Experience building and maintaining training and inference infrastructure Understanding of moving models from concept to production Strong experience in model training and mathematical concepts, e.g., linear algebra, choice of loss functions, regularization techniques, model architecture, optimizer, learning rate schedules Thorough understanding of Python tools and libraries, with the ability to advise on best practices More ❯

Awareness of ethical considerations and bias in AI, ensuring responsible and fair use of AI technologies. Mathematical Foundations: Strong mathematical skills, particularly in areas relevant to AI, such as linear algebra, calculus, and probability. More ❯

wiki pages. Minimum Qualifications Knowledge of Software Engineering processes and practices. Master's or PhD degree in Mathematics, Mechanical Engineering, Computer Science or a related field. Good understanding of linear algebra, numerical methods, analytical geometry and computational geometry. A flexible and fast learner and keen to expand your skills. Tech that we use include BREP modelling, C++ 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 ❯

pipelines and architectures across multiple technical areas within various business functions to support the firm’s objectives. Job Responsibilities Data Modeling: Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms. Data Platform Solutions: Design and implement secure, stable, and scalable data solutions for collection, storage, access, and analytics. Data Pipeline Development: Create robust … visualization tools like Tableau, Power BI, or similar. Experience with relational and NoSQL databases. Experience across the data lifecycle and database backup, recovery, and archiving strategies. Proficient knowledge of linear algebra, statistics, and geometrical algorithms. Knowledge of data warehousing solutions such as Amazon Redshift, Snowflake, or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a More ❯

critical data pipelines and architectures across multiple technical areas in support of the firm’s business objectives. Job Responsibilities Data Modeling: Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms. Data Platform Solutions: Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development: Define and create … tools like Tableau, Power BI, or similar. Experience with relational and NoSQL databases. Experience across the data lifecycle. Knowledge of database backup, recovery, and archiving strategies. Proficient knowledge of linear algebra, statistics, and geometrical algorithms. Knowledge of data warehousing solutions like Amazon Redshift, Snowflake, or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. More ❯

architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Data Modeling : Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms. Data Platform Solutions : Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development : Define and create … or similar Working experience with both relational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. More ❯

architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Data Modeling : Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms. Data Platform Solutions : Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development : Define and create … or similar Working experience with both relational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. More ❯

Familiarity with tensor operations and matrix multiplications is a plus. Proven optimizing numerical algorithms for high-performance computing environments. Familiarity with LSP (Language Server Protocol) and a background in linear algebra, symbolic computation, or related mathematical fields are strong pluses. We offer competitive compensation , including an attractive equity package, with salary and equity levels aligned to your experience More ❯

architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Data Modeling : Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms. Data Platform Solutions : Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development : Define and create … BI, or similar Working experience with bothrelational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. 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 ❯

the ability to seamlessly and efficiently integrate cutting-edge geometric and numerical algorithms into a complex and sophisticated simulation framework. Job Requirements: Expertise in C++ software development Proficiency in Linear Algebra, Numerical Computing, Collision Detection, Finite Element Methods, and other aspects of physics simulation 2 or more years of experience working with physical simulation software, OR equivalent graduate More ❯

and component-based design experience. Strong problem-solving and communication skills. Preferred Qualifications: Experience with AAA games, graphics subsystems, tooling, animation, or middleware. Knowledge of ray tracing, rasterization, and linear algebra. Experience with performance profiling and optimization. Experience with character animation and behavior. Familiarity with tools like Maya, Houdini, Blender, 3Ds Max, Arnold, RenderMan, or Cycles. Experience with graphics More ❯

from joint-space motion to Cartesian trajectory planning Strong hands-on experience with Universal Robots or similar industrial/collaborative arms Proficiency with ROS and MoveIt Solid grasp of linear algebra, quaternions, and transforms Strong coding skills in Python Experience with Gazebo, RViz, or other simulation tools #J-18808-Ljbffr 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 ❯