1 to 25 of 35 Permanent Applied Mathematics Jobs in the UK

Description Mathematics Specialist Position: Mathematics Specialist Type: Contract Compensation: $80–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Mathematics Experts with a PhD in Mathematics or a closely related field to contribute to advanced AI research and evaluation projects. … apply your mathematical expertise to solve, review, and explain complex problems across undergraduate and graduate-level mathematics while helping improve the reasoning and performance of next-generation AI systems. No prior AI experience is required. Your mathematical knowledge, research experience, and analytical reasoning skills are the primary qualifications ...

Description Mathematics Specialist Position: Mathematics Specialist Type: Contract Compensation: $80–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Mathematics Experts with a PhD in Mathematics or a closely related field to contribute to advanced AI research and evaluation projects. … apply your mathematical expertise to solve, review, and explain complex problems across undergraduate and graduate-level mathematics while helping improve the reasoning and performance of next-generation AI systems. No prior AI experience is required. Your mathematical knowledge, research experience, and analytical reasoning skills are the primary qualifications ...

Description Mathematics Specialist Position: Mathematics Specialist Type: Contract Compensation: $80–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Mathematics Experts with a PhD in Mathematics or a closely related field to contribute to advanced AI research and evaluation projects. … apply your mathematical expertise to solve, review, and explain complex problems across undergraduate and graduate-level mathematics while helping improve the reasoning and performance of next-generation AI systems. No prior AI experience is required. Your mathematical knowledge, research experience, and analytical reasoning skills are the primary qualifications ...

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 ...

deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering Several years of relevant work experience or equivalent educational training Technical skills: Statistics, Probability Theory, Econometrics … Financial Mathematics Experience developing and implementing large quantitative models, managing large data sets. Proven leadership abilities, working across organizational lines. Strong programming skills; SQL, Python, VBA, Latex Strong technical writing and clear verbal communication skills Experience of, and ability to work under pressure and deliver to tight deadlines. Ability ...

deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering. Several years of relevant work experience or equivalent educational training. Technical skills: Statistics, Probability Theory, Econometrics ...

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 ...

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 … market making, and robust financial risk controls. 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 ...

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 … market making, and robust financial risk controls. 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 ...

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 ...

4. Reinforcement learning (e.g., multiarmed bandit). Demonstrable working experience of python and SQL, (knowing R is also helpful). Experience collaborating on applied statistical research or designing commercial statistical features/applications Experience … with AI applications Education Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics Communicating Effectively Driving Continuous Improvement Driving for Results Interacting with People at Different Levels Optimizely is committed to a diverse and inclusive workplace. Optimizely ...

relational and non-relational databases Experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering ...

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 ...

globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

when possible, to improve regional budget efficiency and profitability Requirements Education & Experience Bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field or relevant certifications 5+ exposure to IT architecture and solutions for data flows among systems and applications 3+ business ...

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 ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit ...

experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit ...

robust frameworks and services that are used across the business. Required Qualifications A master's degree or equivalent in Financial/Applied Mathematics, Physics, Engineering, or Computer Science Excellent Python and C++ programming skills Proven quantitative understanding of linear rates products and how they are priced ...

/ML work What You'll Need to be Considered Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or related field Hands-on experience with Azure Data Factory and/or Boomi Experience building Power BI semantic models (not just surface-level dashboards ...

building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. Industry experience with developing machine learning models and creating software ...