1 to 25 of 43 Applied Mathematics Jobs in England

eTalk Live Tutoring is looking fora qualified Mathematics Teacher to teach the GCSE program for Year 11 students (online). The candidate should have a strong background in mathematics, experience teaching the GCSE curriculum, and fluency in Russian. Location: Conveniently teach remote from your own home Classes: 50-minute or 60-minute 1 on 1 classes. Job Types … online classes in GCSE mathematics. Prepare and adapt educational materials based on the level of students. Develop additional practical assignments and tests to reinforce learning. Requirements: A degree in Mathematics, Applied Mathematics, Computer Science, or a related field. Strong knowledge of Mathematics, with the ability to explain complex concepts in simple terms. Experience in teaching More ❯

eTalk Live Tutoring is looking fora qualified Mathematics Teacher to teach the GCSE program for Year 11 students (online). The candidate should have a strong background in mathematics, experience teaching the GCSE curriculum, and fluency in Russian. Location: Conveniently teach remote from your own home Classes: 50-minute or 60-minute 1 on 1 classes. Job Types … online classes in GCSE mathematics. Prepare and adapt educational materials based on the level of students. Develop additional practical assignments and tests to reinforce learning. Requirements: A degree in Mathematics, Applied Mathematics, Computer Science, or a related field. Strong knowledge of Mathematics, with the ability to explain complex concepts in simple terms. Experience in teaching 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 ❯

a strong emphasis on innovation and system integration. This is a hands-on, immersive role that would suit a candidate with a strong background in physics, applied mathematics, electrical engineering , or a related discipline—especially those with a passion for solving complex, multidisciplinary challenges. Key Responsibilities Develop end-to-end knowledge of system architecture, from hardware to … Engage with customers and field teams to solve real-world technical challenges Requirements Essential: Degree (ideally MSc/PhD) in Physics, Electrical Engineering, Systems Engineering, or Applied Mathematics Strong analytical background in areas such as image processing, control systems, or fluid mechanics Experience working across hardware, firmware, and software domains Proficiency in tools such as C++, Python More ❯

a strong emphasis on innovation and system integration. This is a hands-on, immersive role that would suit a candidate with a strong background in physics, applied mathematics, electrical engineering , or a related discipline—especially those with a passion for solving complex, multidisciplinary challenges. Key Responsibilities Develop end-to-end knowledge of system architecture, from hardware to … Engage with customers and field teams to solve real-world technical challenges Requirements Essential: Degree (ideally MSc/PhD) in Physics, Electrical Engineering, Systems Engineering, or Applied Mathematics Strong analytical background in areas such as image processing, control systems, or fluid mechanics Experience working across hardware, firmware, and software domains Proficiency in tools such as C++, Python More ❯

Senior/Lead Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Job Type Professional AI or Artificial Intelligence Job Id Location: Offsite, London, United Kingdom Area of Interest Engineer - Software Job Type Professional Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have … values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and More ❯

managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and … practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory More ❯

managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and … practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory More ❯

managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and … practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory More ❯

managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and … practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory More ❯

managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and … practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory More ❯

drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics More ❯

We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your … deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in … Experience building machine learning models or developing algorithms for business application - PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as natural More ❯

Communicate technical concepts, trade-offs, and insights clearly to non-technical stakeholders. Requirements of the Role What You'll Need: Strong academic background in Operations Research, Applied Mathematics, Engineering, Computer Science, or related field (MSc or PhD preferred). Minimum 3 years' experience preferably in commercial area or demonstrated experience in building and deploying optimisation models in More ❯

implementing preventive measures. Maintain documentation and knowledge repositories to support operational continuity and onboarding. Profile Master's or Bachelor's degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field. 8+ years of experience in data engineering, with at least 3 years in a senior or lead role. Proven experience in the energy trading More ❯

TensorFlow/PyTorch). Demonstrable 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 testing, CI/CD pipelines. 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 ❯

tools like Power BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. More ❯

tools like Power BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. More ❯

drive integrated product development Participate in peer reviews and contribute to process improvement initiatives Knowledge/Experience: Bachelors or Masters degree in Electrical Engineering, Computer Science, Applied Mathematics, or related field Strong knowledge of SOX compliance and ITGCs (Information Technology General Controls) Proficient in Python, MATLAB, or similar for modeling and data analysis Experience in battery systems More ❯

GPU hardware, drivers, features, applications, and tools. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs. Job Description •Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field. • Knowledge of one or more programming language suitable for graphics (e.g., C++, C) References to a particular number 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 ❯

will play a central role in developing and implementing advanced mathematical models that power the ToffeeX engineering design platform. This is an opportunity to work at the intersection of mathematics, engineering, and technology within a rapidly growing company. You'll join a multidisciplinary team solving challenging real-world problems, with a focus on physics simulation, optimisation, and computational geometry. … user needs and tailor solutions accordingly. Go beyond existing literature to develop creative, effective solutions to unique real-world engineering problems. Essential Skills & Experience Ph.D. in Applied Mathematics, Physics, Engineering, or a closely related field. Research-level experience in one or more of the following areas: Physics-based simulation using FVM or FEM, including fluid, thermal, structural 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 ❯

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 ❯