13 of 13 Applied Mathematics Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

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 ...

/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 ...

evidence for technical handover. What We\'re Looking For A PhD, or equivalent professional experience, in physics, quantum engineering, electrical engineering, applied mathematics or a related discipline. Experience measuring or modelling quantum systems. Experience developing scientific software for experiment control, numerical analysis or simulation. Strong scientific programming … errors or signal-chain distortion. Experience transferring experimental methods into repeatable engineering or operational workflows. Knowledge of machine learning or numerical optimisation techniques applied to physical systems. Familiarity with control electronics, waveform generation and microwave signal chains. Experience with quantum software frameworks such as Qiskit, PennyLane or Cirq. ...

structured and unstructured data. Experience working with AWS services such as S3, Lambda, EC2, RDS and Glue. A solid understanding of statistics and applied mathematics. The ability to understand, interpret and extend complex algorithms and business logic. A strong grounding in software engineering principles, including testing, code quality ...

ground), not just against the model What we are looking for Strong foundations in operations research, mathematical optimisation, or applied mathematics Production experience with at least one solver ecosystem and one general-purpose programming language Comfort with messy real data, partial information, and changing constraints Pragmatism about ...