22 of 22 Linear Algebra Jobs in the UK excluding London

AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such More ❯

Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry. Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques. Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus. Excellent communication More ❯

Experience working in hybrid team structures, collaborating with contractors and external partners. Qualifications: A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist. Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation. Why Join More ❯

other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. More ❯

and evaluation. Ability to perform ad-hoc data mining and integrate large structured and unstructured datasets from multiple sources. Strong knowledge of statistics and probability; a foundation in calculus, linear algebra, and analysis is advantageous. Package Our client values autonomy and flexibility. Benefits include: Company pension scheme 25 days holiday per year Flexible working locations (home, client site More ❯

experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems More ❯

packages (such as Pandas, Numpy, scikit-learn) Understanding of how and when to apply analytical approaches including regression analysis and machine learning Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus Good at spotting problems and quickly proposing solutions Experience with BI Tools such as Tableau and Power BI will be considered as an advantage Fluency More ❯

Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other More ❯

deadlines. Qualifications A degree in Computer Science, related field or equivalent work experience. Skills Programming skills (e.g. C++ or C#). Problem solving skills. Knowledge of 3D mathematics (e.g. linear algebra, trigonometry and matrices). Ability to work within a team. Ability to work within a schedule and deliver effectively to deadlines. PLUSES Please note that these are 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. #J-18808-Ljbffr 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 ❯

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 ❯

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 ❯

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 ❯

deadlines. QUALIFICATIONS A degree in Computer Science, related field or equivalent work experience. SKILLS Programming skills (e.g. C++ or C#). Problem solving skills. Knowledge of 3D mathematics (e.g. linear algebra, trigonometry and matrices). Ability to work within a team. Ability to work within a schedule and deliver effectively to deadlines. PLUSES Please note that these are More ❯

about playing and making games. SKILLS Demonstrable experience in C/C++. Strong profiling and optimisation skills. Knowledge of rigid, multi body simulation and Newtonian mechanics. Strong maths skills (linear algebra, trigonometry, matrix/quaternion math). Strong multi-threaded programming skills. Excellent problem-solving skills with an emphasis on debugging C++ code. PLUSES Please note that these 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 ❯

fixes effectively to deadlines. QUALIFICATIONS A degree in Computer Science, related field or equivalent work experience. SKILLS Programming skills (e.g. C++ or C#). Knowledge of 3D mathematics (e.g. linear algebra, trigonometry and matrices). Ability to work within a team. Ability to work within a schedule and deliver effectively to deadlines. PLUSES Please note that these are More ❯

fixes effectively to deadlines. QUALIFICATIONS A degree in Computer Science, related field or equivalent work experience. SKILLS Programming skills (e.g. C++ or C#). Knowledge of 3D mathematics (e.g. linear algebra, trigonometry and matrices). Ability to work within a team. Ability to work within a schedule and deliver effectively to deadlines. PLUSES Please note that these are More ❯

experience Preferred Qualifications Experience delivering AAA Games, working on Graphics subsystems or the Game Engine Augmented Reality (AR)/Virtual Reality (VR) experience Knowledge of ray tracing, rasterization and linear algebra Experience with low level performance profiling and optimization Experience implementing 3D graphics features such as lighting, effects, shaders and other low-level systems Experience with tools such More ❯