1 to 25 of 28 Permanent Linear Algebra Jobs

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis to extract valuable insights from data. Be the driving force behind our data visualisation efforts whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI … python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep More ❯

with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant More ❯

with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant More ❯

with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant More ❯

with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant More ❯

small-scale system and process improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in More ❯

Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within systematic More ❯

Excellent problem-solving skills Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience) Desirable Knowledge of UNIX & AWS Understanding of linear and mixed integer programming, and convex optimisation Experience with at least one commercial or open-source optimisation library or a mathematical modelling language Understanding of financial derivatives, margin and … counterparty credit risk measures A solid mathematical background (numerical methods, linear algebra, partial differential equations, probability & statistics) Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is More ❯

to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their apprenticeship journey alongside Learner Success Coaches. ? Contribute to content and product development — creating learning materials More ❯

the client is considering junior through to senior quantum computing engineers hence the broad salary range. Quantum Engineer Responsibilities: Develop efficient quantum routines for encoding and solving large-scale linear systems. Innovate on algorithms that can handle time-dependent problems typically modeled by PDEs. Devise hybrid solutions ready for both simulated and practical quantum environments. Partner with teams and … Desirables: Experience with C or C++. High-performance computing and parallel algorithm development. Engineering simulation, modeling, or ML exposure. Understanding of techniques for quantum data preparation and output interpretation. Linear algebra/advanced quantum methods such as QSVT or quantum linear solvers. Quantum Engineer/Quantum Computing Location: Nottingham/Remote/Hybrid Salary More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out More ❯

graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance applications. If this sounds of interest, please apply here or reach out More ❯

written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural More ❯

C#, and Python, specifically applied in the context of implementing complex models within a production-grade analytics pricing library. Computational Rigor: Solid, practical understanding of advanced numerical techniques, including linear algebra and finite difference methods. Strategic Leadership: Proven track record of identifying opportunities for development, independently taking action to maximize results, and effectively collaborating with stakeholders to meet More ❯

of established experience in C++ with focus on high-performance application development Demonstrated experience with OpenGL or OpenGL ES, including GLSL shader programming Solid understanding of 3D computer graphics, linear algebra, and camera geometry Knowledgeable of cross-platform development (Windows, Linux, or macOS) Familiarity with C++ build tools such as git and make or CMake Desired: Exposure to More ❯

video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning) Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in More ❯