1 to 25 of 48 Applied Mathematics Jobs in the UK

Company DescriptionApply advanced science, mathematics and computation to some of the most challenging technical problems across industry and government. We are looking for a technically strong scientist with a background in computational physics, applied mathematics, signal processing or a closely related discipline to join our Applied … analysis, modelling and problem solving. You will contribute to projects involving: Computational modelling and simulation Signal processing and sensing systems Applied mathematics and optimisation Data analysis and statistical inference Algorithm development and evaluation Decision-support and analytical methods Digital engineering and model-based approaches Emerging technologies, including ...

join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera … developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. ...

join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera … developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. ...

join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera … developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. ...

considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing ...

language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down … your chance to future-proof your career in an AI-first world! What does day-to-day look like: Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. Solve problems independently and write detailed ...

language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down … your chance to future-proof your career in an AI-first world! What does day-to-day look like: Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. Solve problems independently and write detailed ...

language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down … your chance to future-proof your career in an AI-first world! What does day-to-day look like: Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. Solve problems independently and write detailed ...

cases. Work with the product and engineering team to move models from prototype to production. Evaluate model performance, reliability and robustness in applied settings. Spend time with customers to understand the operational context behind the data. Contribute to the technical direction … platform as one of the first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python ...

foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record ...

evaluation methodologies, and safe deployment patterns. Qualifications A Bachelor's degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist/machine learning engineer. Essential … . Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … hedging models to the trading desk. Job responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics - stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques - closed-form and adjoint/algorithmic-differentiation ...

Technical Skills Experience in econometrics, MMM, or marketing effectiveness. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini ...

econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

Python ML toolkits such as TensorFlow or PyTorch Excellent communication and presentation skills A PhD/MSc in computer science, statistics, applied mathematics or related field, or equivalent education/experience Preferred Qualifications Familiarity with LLM methods applied to recommendation Experience with counterfactual evaluation Experience ...

econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

advantage. Exposure to enterprise sales cycles and technical decision-making processes is beneficial. Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field is preferred. Benefits: Remote-friendly work environment within Canada. Opportunity to work on impactful data, cloud, and AI transformation ...

particular focus on swaps, employee incentive schemes, embedded derivatives, hedging instruments, and public and private structured credit investments Leveraging technology in applied mathematics, statistics, computer science, and economics to implement Monte Carlo simulations, binomial trees, option pricing models, and securitisation waterfall models Leading all aspects of client … reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committees Requirements: Bachelors, Master’s, or PhD in Finance, Mathematics, Statistics, or a related quantitative discipline Demonstratable relevant experience at a fund, investment bank, consultancy, or related financial services institution (Fewer years of relevant ...

Robotics Autonomous Vehicles UAV/Drone Technology Research & Development Control Systems Advanced Engineering They are also very interested in engineers coming from Physics or Mathematics backgrounds who have developed strong software engineering skills. Essential Technical Skills The strongest candidates will have experience with: Programming C C++ MATLAB Python Engineering … overused term! They want someone who genuinely enjoys this area of engineering. Qualifications Ideally: Aerospace Engineering Mechanical Engineering Electronic Engineering Physics Applied Mathematics Computer Science (with strong engineering exposure) A PhD would be attractive if it is directly relevant to autonomy or autonomous air systems , although they ...

optimize model performance in live trading environments. Basic Qualifications Education: Ph.D. or Master’s degree in Machine Learning, Computer Science, Physics, Applied Mathematics, Statistics, or a closely related quantitative discipline from a top-tier academic institution. Programming Expertise: Advanced proficiency in Python and C++ within a Linux ...

data science and how they can be most effectively applied to solve business problems Qualifications Strong knowledge of applied mathematics, statistics and scientific methods, with the ability to apply these to practical data science challenges and provide expert guidance to teams. Experienced in providing technical ...

data science and how they can be most effectively applied to solve business problems Qualifications Strong knowledge of applied mathematics, statistics and scientific methods, with the ability to apply these to practical data science challenges and provide expert guidance to teams. Experienced in providing technical ...

first-principles thinking to real-world systems. You'll ideally have: A PhD (or be close to completing one) in Physics, Applied Mathematics, Engineering, Computational Science, Electronics or another quantitative discipline. Experience developing mathematical or physics-based models. Strong MATLAB and Simulink programming skills. Knowledge of systems ...