1 to 25 of 34 Applied Mathematics Jobs in 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 ❯

trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization … and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced … analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working language; additional languages More ❯

trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization … and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced … analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working language; additional languages More ❯

frameworks and regulatory requirements (GDPR, SOX). • Previous experience in insurance, financial services, or large-scale digital transformation. Qualifications • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related discipline (Master’s preferred). • Has worked with oneAdvanced desirable. InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience More ❯

plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

consuming programming steps, helping manufacturing teams increase productivity and consistency across their workflows. We are a growing engineering-led organisation with strong expertise across software development, applied mathematics, and real-world machining. The Opportunity We are expanding a core engineering group focused on machining strategy and automated toolpath reasoning. This role involves designing and implementing new computational … runtime considerations. Ability to collaborate effectively with a multidisciplinary engineering team. Clear communication skills and the ability to explain complex technical topics. Degree or equivalent background in Computer Science, Mathematics, Physics, Engineering, or a related technical discipline. Helpful Additional Experience Knowledge of computational geometry, CAD/CAM workflows, CNC machining, or manufacturing processes. Familiarity with geometric modeling kernels, simulation More ❯

ML models that power operational decision-making Continuously improve model accuracy, speed, and scalability What They’re Looking For: Strong background in data science, statistics, or applied mathematics (advanced degree preferred) Proven experience with time-series forecasting and real-time data environments Skilled in Python and familiar with cloud-based tools such as GCP and Docker Strong More ❯

pipelines for large-scale test data processing. As the successful Systems Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field. Additional Information: Candidates MUST be eligible to work and live in the UK. Copies of Visa and Passport will be requested. Salary/Benefits: In addition … of Benefits including Hybrid and Flexible Working, Stock Options, 25 days holiday, and relocation assistance. Skills: . Optimisation, Algorithm, Optical Networks, Software, Hardware, Test, Computer Science, Electronic Engineering, Applied Mathematics. To Apply Direct: Please send CV to Iona Mulligan More ❯

role, requiring you onsite 3 days a week. Experience of the Systems Optimisation Engineer will include: BSc or MSc in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field Proficiency in software development for test automation, e.g. Python, C++, or C# Understanding of hardware test systems and instrumentation, e.g. oscilloscopes, BERTs, burst-mode testers Experience More ❯

role, requiring you onsite 3 days a week. Experience of the Systems Optimisation Engineer will include: BSc or MSc in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field Proficiency in software development for test automation, e.g. Python, C++, or C# Understanding of hardware test systems and instrumentation, e.g. oscilloscopes, BERTs, burst-mode testers Experience More ❯

role, requiring you onsite 3 days a week. Experience of the Systems Optimisation Engineer will include: BSc or MSc in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field Proficiency in software development for test automation, e.g. Python, C++, or C# Understanding of hardware test systems and instrumentation, e.g. oscilloscopes, BERTs, burst-mode testers Experience More ❯