51 to 75 of 113 Applied Mathematics Jobs in England

for junior staff This role reports directly to the Head of, Vehicle Modelling Knowledge, Skills & Experience Ideally a Masters degree or PhD in Engineering, Physics or Applied Mathematics (or similar) Strong knowledge and conceptual understanding of vehicle physics. Objective, data driven approach to analysis. Deep awareness of relevant simulation techniques & considerations. Extensive experience of vehicle sub-system … modelling in F1, motorsport or a related field. Strong skills in data analysis, applied mathematics and dynamical systems Experienced user of: (Required) Matlab and Mathworks toolchain, Vehicle Dynamics simulation tools, ATLAS 10 or similar analysis tools (Preferred) C/C++ and Python Personal Attributes Innovative, moving us fearlessly forward by proposing new methods and ideas Proven ability More ❯

larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and … Translate academic thinking into robust, real-world solutions Author technical publications and contribute to patents where appropriate What You'll Bring PhD or equivalent experience in machine learning, applied maths, or related discipline Deep understanding of ML/AI applied to time-series/sensor data or decision systems Strong software prototyping skills, especially in Python More ❯

Experience: Proficiency in at least one scripting language (Python, Matlab, R), with a strong preference for Python. Master's degree (or equivalent) in Economics, Finance, Statistics, Applied Mathematics, Computer Science, or a related STEM field. PhD research experience/publications in relevant fields are a plus. Strong problem-solving skills with an analytical and abstract reasoning mindset. More ❯

modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. More ❯

modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. More ❯

measurement to ensure the firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in More ❯

Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas. Research publications reflecting experience in theoretical or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and collecting data More ❯

trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. Personal or open-source projects in simulators, ML kernels, or performance analysis are a significant plus. Competitive salary and stock More ❯

Modules taught at the Digital Futures Academy include: Technical Skills: Coding fundamentals (Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini More ❯

Modules taught at the Digital Futures Academy include: Technical Skills: Coding fundamentals (Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini More ❯

audiences. Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation. QUALIFICATIONS Required: PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience. At least 2 years of progressive experience with prior application More ❯

s customers across the UK, Europe, and potentially worldwide. Required qualifications to be successful in this role • Degree in a STEM subject or equivalent qualification. • Strong background in applied mathematics. • Ability to take ownership of delegated responsibilities. • Excellent interpersonal and communication skills (written and verbal). • Positive, proactive mindset with a commitment to quality and best practices. • Proficiency More ❯

their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯

their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you’ll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we’re looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯

Group, Vehicle Modelling team, supporting junior staff, reporting to the Head of Vehicle Modelling. Job Requirements Knowledge, Skills & Experience Masters or PhD in Engineering, Physics, or Applied Mathematics (or similar) Strong vehicle physics knowledge Data-driven analysis approach Experience with vehicle sub-system modelling in motorsport Skills in data analysis, applied mathematics, dynamical systems More ❯

s or master's degree in any discipline with strong academic performance in analytic and quantitative coursework (business, economics, marketing, psychology, physical or life sciences, engineering, applied mathematics, statistics or relevant fields) Proficiency in Microsoft Office Suite High motivation, good work ethic, maturity and personal initiative Effective oral and written communication skills Empathy, adaptability and emotional intelligence … s or master's degree in any discipline with strong academic performance in analytic and quantitative coursework (business, economics, marketing, psychology, physical or life sciences, engineering, applied mathematics, statistics or relevant fields) Proficiency in Microsoft Office Suite High motivation, good work ethic, maturity and personal initiative Effective oral and written communication skills Empathy, adaptability and emotional intelligence More ❯

complex engineering problems, focusing on mathematical optimization, numerical methods for partial differential equations (PDEs), and computational geometry. This role offers the opportunity to work at the intersection of advanced mathematics, engineering, and technology in a rapidly growing company. Key Responsibilities: Develop and refine mathematical models and algorithms to address complex engineering challenges, particularly those involved in multi-physics simulation … customer success engineers to understand customer needs. Innovate beyond existing literature, developing creative approaches to solve unique real-world engineering problems. Essential Skills & Experience Ph.D. in Applied Mathematics, Physics, Engineering, or a closely related field. Research level experiencein numerical methods for PDEs, mathematical modelling or PDE-constrained optimization. Hands-on experience in developing and implementing numerical algorithms More ❯

stack, utilizing existing ML libraries where appropriate. Conduct experiments to enhance quantum computing capabilities. Key Requirements: Master’s Degree or Ph.D. in Physics, Computer Science, Chemistry, Applied Mathematics, or related fields, or equivalent experience. Experience in applied AI for scientific problems. Previous experience with quantum computing. Familiarity with literature on quantum advantage. Desirable Skills: Knowledge More ❯

to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications Bachelors/MS or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science. Meaningful experience in coding in an object oriented programming language Excellent written and verbal communication skills. Ability to work in a dynamic and fast-paced More ❯

learn new ideas, and good judgment to deliver quick yet robust solutions. Basic Qualifications Bachelor's/MS or PhD in a quantitative field such as Applied Mathematics, Physics, Engineering, or Computer Science. Significant experience coding in an object-oriented programming language. Excellent written and verbal communication skills. Ability to work effectively in a dynamic, fast-paced More ❯

implement state-of-the-art numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master’s degree or Ph.D. in Computational Engineering, Applied Mathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python/C++ Advanced knowledge in More ❯

implement state-of-the-art numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master's degree or Ph.D. in Computational Engineering, Applied Mathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python/C++ Advanced knowledge in More ❯

alongside our team on software solutions applicable to FEA simulation of machines' dynamics and strength characteristics. Responsibilities: Develop mathematical models, solution algorithms, and computational methods for applied mathematics problems in the field of mechanics of deformable solids. Design, develop, and implement software tools and applications for rotor dynamics analysis and structural simulations, simulation of performance and dynamic More ❯

current systems. Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design. Master's degree in Machine Learning, Applied Mathematics, Operations Research or a related field, or equivalent work experience. PREFERRED QUALIFICATIONS Bachelor's degree in computer science or equivalent. Experience with full software development life cycle, including coding More ❯

Skills: Programming: Proficiency in Python for quantitative research, model building, and analysis. Academic Background: A Masters or PhD in a quantitative discipline such as Computer Science, Applied Mathematics, Statistics, or a related field from a top-ranked university. Research Experience: Solid background in alpha research and systematic strategy development. Desired Experience: Experience in Cash Equities More ❯