1 to 25 of 43 Applied Mathematics Jobs in the UK excluding London

an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have … cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Security Clearance 4+ years in AI/ML engineering or data science roles, preferably in high-growth or research environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc/PhD preferred). Experience with computational linguistics is highly desirable. Proficiency in Python and ML libraries such as Hugging Face, PyTorch More ❯

Clearance 4+ years in AI/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 from a research academic or More ❯

Clearance 4+ years in AI/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 related fields (MSc/PhD preferred). Exposure to computational linguistics is highly desirable, from both academic research and commercial perspectives. Proficiency in Python and More ❯

science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field Strong self-starter and independent thinker, with strong attention to detail Demonstrated industry experience or academic achievement Excellent communication More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor's degree (master's or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business 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 project initiatives and shaping technical More ❯

as both you and the company develop; Working autonomously and pragmatically to make appropriate technical decisions. ABOUT YOU EXPERIENCE & QUALIFICATIONS Master’s student in computer science, applied mathematics, statistics or meteorological studies; Ideally a previous experience (long-term internship) in data science or climate modeling. SKILLS Proficient in statistics, applied mathematics and machine learning More ❯

department, and senior leadership in 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 bank. Proven experience in designing More ❯

and identify trends, highlighting areas that may require attention when necessary. Ensure the timely preparation and delivery of regular reports. Job Requirements: A Degree in Statistics, Applied Mathematics, Business Analytics or equivalent Candidate with a Master’s degree in Healthcare Management, Public Health or Business Administration is at advantage At least 5 years of working experience in More ❯

Clearance 4+ years in AI/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 from a research academic or More ❯

disciplinary team of machine learning experts, experimentalists, fabrication experts, software developers, and computer scientists. Qualifications and Education Requirements Master's degree in Physics, Photonics, Electrical Engineering, Applied Mathematics, Computer Science, or equivalent. The ideal candidate is deeply interested and enthusiastic to perform research in the emerging field of optical and neuromorphic computing, specifically from the holistic point More ❯

delivery. Skills and Experience Expertise in data science and machine learning techniques (supervised, unsupervised, deep learning); knowledge of generative AI is desirable. Strong knowledge of statistics, applied mathematics, and scientific analysis with proven experience in delivering organizational benefits. Proficiency in exploratory data analysis and handling large datasets. Experience with Machine Learning Ops and A/B testing. More ❯

/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to develop and encourage the commitment to learn in others and to present material to a range of audiences - Ability to provide pastoral assistance to students - Highly advanced More ❯

for junior staff This role reports directly to the Head of, Vehicle Modelling Knowledge, Skills & Experience Ideally a Masters degree or PhD in Engineering, Physics or Applied Mathematics (or similar) Strong knowledge and conceptual understanding of vehicle physics. Objective, data driven approach to analysis. Deep awareness of relevant simulation techniques & considerations. Extensive experience of vehicle sub-system … modelling in F1, motorsport or a related field. Strong skills in data analysis, applied mathematics and dynamical systems Experienced user of: (Required) Matlab and Mathworks toolchain, Vehicle Dynamics simulation tools, ATLAS 10 or similar analysis tools (Preferred) C/C++ and Python Personal Attributes Innovative, moving us fearlessly forward by proposing new methods and ideas Proven ability More ❯

larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and … Translate academic thinking into robust, real-world solutions Author technical publications and contribute to patents where appropriate What You'll Bring PhD or equivalent experience in machine learning, applied maths, or related discipline Deep understanding of ML/AI applied to time-series/sensor data or decision systems Strong software prototyping skills, especially in Python More ❯

modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. More ❯

Modules taught at the Digital Futures Academy include: Technical Skills: Coding fundamentals (Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini More ❯

audiences. Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation. QUALIFICATIONS Required: PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience. At least 2 years of progressive experience with prior application More ❯

s customers across the UK, 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 quality and best practices. • Proficiency More ❯

their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯

their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you’ll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we’re looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯

Group, Vehicle Modelling team, supporting junior staff, reporting to the Head of Vehicle Modelling. Job Requirements Knowledge, Skills & Experience Masters or PhD in Engineering, Physics, or Applied Mathematics (or similar) Strong vehicle physics knowledge Data-driven analysis approach Experience with vehicle sub-system modelling in motorsport Skills in data analysis, applied mathematics, dynamical systems More ❯