24 of 24 Applied Mathematics Jobs in the UK excluding London

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 ❯

/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 ❯

in data analysis, building analytical and/or machine learning models. Master's degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields. Eight years of total experience including programming, testing and leadership. Equivalent combination of related education, training 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 ❯

We are working on behalf of a stealth-mode MedTech with a goal to transform how health data is collected, analysed, and applied to improve patient care, making a real impact on individuals' lives globally. As they continue to grow, they are building a team based in London … related industries is a strong advantage. A Master's or PhD in a relevant field (e.g., Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, etc.). Proficiency in Python, SQL, AWS, Airflow, PySpark, PyTorch, NumPy, and related data technologies. Experience with cloud infrastructure, data pipelines, and machine More ❯

exposure to stakeholders and users, and strong communication skills are essential. What we’re looking for: Advanced degree in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science or similar At least 5 years of experience in a front office development role at a major investment bank 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 5 years of experience in a front office development role at a major investment 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 ❯

learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with More ❯

trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and More ❯

Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical … integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes stable research funding 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 ❯

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 ❯

impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable; Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us; We’ve combined groundbreaking AI More ❯

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 More ❯

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 More ❯

derivatives. Design and maintain tools for back-testing complex trading strategies. Desirable Candidates: Bachelors or Master's degree in Computer Science, Applied Mathematics, or Physics, or equivalent level of education in Mathematics. Strong C++ development experience with some Python skills. 3+ years of experience in quantitative development More ❯

For: 3+ years (minimum 2) in a quantitative role such as Strat, Desk Quant, or Buy-Side QD. Strong foundation in applied mathematics, statistics, econometrics, or computational finance—typically at the MSc or PhD level. Deep experience with Python and numerical libraries (NumPy, SciPy, Pandas, etc.). More ❯

checks and audits of records Role Requirements: Education : Bachelor's Degree in Environmental Science, Sustainability, Energy Management, Engineering, Data Science, Statistics, Applied Mathematics or a related field Experience and Skills Required: The Data Analyst could be a graduate level candidate with about 1-2 years' Data Analysis More ❯

as a member of the global Astroscale team. Essential Skills Diploma: Bachelor or Master's degree in systems, aerospace, mechanical engineering, applied mathematics, or another relevant discipline. At least 3+ years experience in Space Systems Engineering. Commercial experience in performing systems analysis and design; ideally for spacecraft. More ❯

the Microsoft Stack to handle, analyze, and visualize data. Role Requirements: Education: A relevant Degree level qualification in Data Science, Statistics, Applied Mathematics or a related field. Experience and Skills Required: 2 years or more experience in a similar role preferably in a cross-functional IT data More ❯

implementation in real-time, software-driven environments • Clear understanding of the interaction between algorithms, software, and hardware platforms • Solid knowledge of applied mathematics and proficiency in MATLAB modelling • Higher education qualification (or equivalent experience) in a STEM discipline Desirable: • Experience applying complex Signal Processing techniques within radar More ❯

GCP data solutions. Good understanding of deploying AI solutions in Azure Open AI, GCP and AWS platforms. 2 to 4 years' experience in applied data science role or equivalent; ideally in a CPG, Retail. Experience in SAP MDG/S4 HANA is a big plus. Working knowledge of … technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company More ❯