1 to 25 of 43 Permanent Applied Mathematics Jobs in the UK

problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models More ❯

challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast. Essential Skills: Master's degree in a Science, Technology, Engineering … and Mathematics (STEM) field (PhD preferred). A proven record of a strong foundation in Machine Learning, data science, and software engineering. Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective. Champions a collaborative mindset and a drive to learn, iterate, and improve. Publications or open-source contributions? Even better-we value original More ❯

data processing R/Python/pyspark for logic building Tableau/PowerBI or similar platforms for Data Visualization You should be comfortable with concepts of applied mathematics and statistics which might be required to build a foolproof solution. What’s in it for you - Tremendously impactful role that provides an opportunity to grow and be part More ❯

s various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physic, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. May … colleagues You will have excellent communication skills (oral and written), planning, project management, networking and influencing skills. Skills that will help (optional): Advanced degree in physics, applied mathematics, statistics/probability, or another heavy quantitative discipline. Experience in Financial Crimes related to Sanctions or AML Compliance. Proficiency in SQL, Python, R and/or SAS. Broad experience More ❯

be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise More ❯

infrastructure, including input systems and engineering pipelines, to debug user issues Required Qualifications: A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. At least 8+ years of experience in an analytics or data-oriented role Prior experience supporting at the executive level across GTM, sales strategy, sales/marketing 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 ❯

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 ❯

working knowledge on AWS and 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 data visualisation tools such as … architects to develop 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, where we're striving to build More ❯

doctoral research experience. Qualifications Applicants must have completed a BS/MS degree before the appointment in a data science field, which may include computer science, applied mathematics, econometrics, operations research, or a related field. They must demonstrate capabilities for writing code (Python or R), basic knowledge in mathematical modelling, and prior experience using libraries in statistics More ❯

with a data-first approach Project Management - Experience with planning and leading projects end-to-end What you will bring: Bachelor's degree in business, finance, applied mathematics or related field preferred 2-5 years professional experience, with at least 2 years at non-agency environment In-depth knowledge of Paid Search Marketing Ability to conceptualize business 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 ❯

working knowledge on AWS and 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 data visualisation tools such as … and solutions architects to develop 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, where we’re striving to More ❯

Functional Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production … the underlying mechanics of asset-backed financing, with direct exposure to SRT transactions and other ABS instruments (highly preferred). Deep familiarity with statistical methods and applied mathematics in a financial context. Exposure to cloud platforms (e.g., AWS) and experience managing large datasets through modern data infrastructure. Ability to work through complex problems independently and collaboratively, with More ❯

Functional Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production … the underlying mechanics of asset-backed financing, with direct exposure to SRT transactions and other ABS instruments (highly preferred). Deep familiarity with statistical methods and applied mathematics in a financial context. Exposure to cloud platforms (e.g., AWS) and experience managing large datasets through modern data infrastructure. Ability to work through complex problems independently and collaboratively, with 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 ❯

Strong proficiency in Python; Java is a bonus Track record of rigorous, creative research with impact Preferred Academic Background: PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline Demonstrated ability to apply advanced statistical methods to real-world datasets Location: London-based, in office 5-days a week. This is More ❯

Strong proficiency in Python; Java is a bonus Track record of rigorous, creative research with impact Preferred Academic Background: PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline Demonstrated ability to apply advanced statistical methods to real-world datasets Location: London-based, in office 5-days a week. This is 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 ❯

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 ❯

Grasp This is a system design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to lead projects and take initiative when … events-based architecture Frontend: Typescript, React, Bun, Turborepo for package management (monorepo), Tailwind CSS, Shadcn Infra: GCP, k8s Extensive work experience involving programming, machine learning, and applied mathematics for R&D projects. 8+ years programming and software engineering in industry , including several years working with Python. Previous involvement designing new products (e.g. research engineer embedded in a … systems involving LLM pipelines as components. Ability to translate high-level strategic objectives into technical roadmap with regular milestones. An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner/Breakfast Statutory 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 ❯

complex engineering problems, focusing on mathematical optimization, numerical methods for partial differential equations (PDEs), and computational geometry. This role offers the opportunity to work at the intersection of advanced mathematics, engineering, and technology in a rapidly growing company. Key Responsibilities: Develop and refine mathematical models and algorithms to address complex engineering challenges, particularly those involved in multi-physics simulation … customer success engineers to understand customer needs. Innovate beyond existing literature, developing creative approaches to solve unique real-world engineering problems. Essential Skills & Experience Ph.D. in Applied Mathematics, Physics, Engineering, or a closely related field. Research level experiencein numerical methods for PDEs, mathematical modelling or PDE-constrained optimization. Hands-on experience in developing and implementing numerical algorithms More ❯

Experience: Proficiency in at least one scripting language (Python, Matlab, R), with a strong preference for Python. Master's degree (or equivalent) in Economics, Finance, Statistics, Applied Mathematics, Computer Science, or a related STEM field. PhD research experience/publications in relevant fields are a plus. Strong problem-solving skills with an analytical and abstract reasoning mindset. 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 ❯