1 to 25 of 46 Permanent Applied Mathematics Jobs in England

and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied mathematics (e.g., graph algorithms) as you solve problems for online self-directed learners. As an individual contributor, you will be expected to lead projects and … React, Bun for package management (monorepo again), Tailwind CSS, Shadcn Infrastructure: GCP, Kubernetes (k8s) Extensive experience in programming, machine learning, and applied mathematics for R&D projects. 8+ years of programming and software engineering in industry , including several years working with Python. Experience designing new products (e.g. … Ability to translate high-level strategic objectives into a technical roadmap with regular milestones. An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or a similar field. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasp learning tools for personal More ❯

techniques and mathematical foundations. Working knowledge of Pymc, cloud data science frameworks, and Azure preferred. Deep expertise in areas like Optimization, Applied Mathematics, or Simulation. Educational qualifications: MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or related fields with modelling and More ❯

development practices to develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and/or More ❯

looking for someone to join the company as a consultant who has a background in process engineering, environmental science/engineering, applied mathematics or computer science or related discipline. It would also be advantageous if you have experience and an interest in the wastewater and bioresource treatment … goal orientated. Qualifications and skills · Bachelor's degree or higher in Process Engineering , Environmental Engineering , Chemical Engineering , Data or Computer Science , Applied mathematics , Statistical and Decision Sciences or a related field. · Proficiency in utilizing advanced analytics and data science techniques for decision-making purposes, including but not More ❯

looking for someone to join the company as a consultant who has a background in process engineering, environmental science/engineering, applied mathematics or computer science or related discipline. It would also be advantageous if you have experience and an interest in the wastewater and bioresource treatment … goal orientated. Qualifications and skills · Bachelor's degree or higher in Process Engineering , Environmental Engineering , Chemical Engineering , Data or Computer Science , Applied mathematics , Statistical and Decision Sciences or a related field. · Proficiency in utilizing advanced analytics and data science techniques for decision-making purposes, including but not More ❯

the companydevelop; Working autonomously and pragmatically to make appropriate technical decisions. ABOUT YOU EXPERIENCE & QUALIFICATIONS Master's student in computer science, applied mathematics, statistics ormeteorological studies; Ideally a previous experience (long-term internship) in data science orclimate modeling SKILLS Proficient in statistics, applied mathematics More ❯

should possess prior experience of IRB models (as a developer or validator), with a degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, and a high level of competence in SAS or SQL programming - an equivalent level in More ❯

time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in More ❯

a part of this mission you are crucial to our future, and we are committed to supporting yours as well. Skills and Competencies: Applied experience collecting, processing, and using data to solve a problem or answer a question. Working knowledge of a computer programming language (examples include SQL … R/tidyverse, Python, Microsoft Excel, Julia, and Fortran) with an adaptability and willingness to learn new languages/software as required. Strong applied analytical, mathematical and/or statistical foundation. Driven and committed, demonstrating self-motivation as well as strong team working skills. Critical thinking, problem-solving … s or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About the Graduate Program: As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our More ❯

/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either More ❯

/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either More ❯

Micro Strategy etc Python experience SQL experience Stakeholder management experience An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required About The Company Motability Operations is a unique organisation, virtually one of a kind. We combine a More ❯

Micro Strategy etc... Python experience SQL experience Stakeholder management experience An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense More ❯

collaboration skills to interact with technical teams, business partners, and stakeholders. Bachelor's degree in machine learning, computer science, data science, applied mathematics, or a related field (Master's or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading More ❯

AI solutions. ABOUT THE ROLE As a Senior Machine Learning Scientist, you will contribute to our Defence & Security work as part of our Applied Machine Learning team. You will work alongside other Research Scientists, Machine Learning Engineers, and Product managers to help take cutting-edge approaches and turn … Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art More ❯

a clear and effective manner. Preferred Qualifications Postgraduate degree (MS or PhD) in a quantitative field of study including: Economics, statistics, applied mathematics, data science, business or a related discipline is beneficial. Excellent written, verbal, presentation and communication skills. Self-motivated and proactive with proven creative, problem More ❯

/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either More ❯

/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

proprietary MMM tools (e.g. Robyn, Meridian ). Strong data visualisation skills (Power BI, Tableau, Looker Studio). Background in econometrics, statistics, applied mathematics, or a similar quantitative field. Please apply More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯