20 of 20 Mathematical Modelling Jobs in London

working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data More ❯

office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest More ❯

office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest More ❯

optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

with quantitative analysts, data scientists, and traders to implement and optimise models in production environments. Build and enhance high-performance systems for data processing, pricing, and simulation. Translate complex mathematical models into robust, efficient, and maintainable code. Ensure system reliability, scalability, and low latency across all components. Participate in model validation, performance tuning, and version control processes. Stay up More ❯

both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively. Responsibilities: Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies. Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android. Enhance, maintain More ❯

both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively. Responsibilities: Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies. Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android. Enhance, maintain More ❯

both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively. Responsibilities: Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies. Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android. Enhance, maintain More ❯

both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively. Responsibilities: Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies. Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android. Enhance, maintain More ❯

/Gurobi 💻 Fully Remote (UK) | 🏙 2 Days in London Office per Month 💰 Base Salary up to £85,000 + Performance Bonus Are you a problem-solver who loves applying mathematical models to real-world optimisation challenges? We’re looking for a Lead Optimisation Engineer to take ownership of a core optimisation engine that drives intelligent routing and decision-making … troubleshoot and propose optimisation improvements. What We’re Looking For Strong Python skills and experience working with optimisation tools such as Pyomo , Gurobi , or SCIP . Solid understanding of mathematical modelling and problem-solving in real-world applications. Comfort working with APIs, backend data models, and performance monitoring tools. A proactive mindset — someone who enjoys owning technical challenges More ❯

/Gurobi 💻 Fully Remote (UK) | 🏙 2 Days in London Office per Month 💰 Base Salary up to £85,000 + Performance Bonus Are you a problem-solver who loves applying mathematical models to real-world optimisation challenges? We’re looking for a Lead Optimisation Engineer to take ownership of a core optimisation engine that drives intelligent routing and decision-making … troubleshoot and propose optimisation improvements. What We’re Looking For Strong Python skills and experience working with optimisation tools such as Pyomo , Gurobi , or SCIP . Solid understanding of mathematical modelling and problem-solving in real-world applications. Comfort working with APIs, backend data models, and performance monitoring tools. A proactive mindset — someone who enjoys owning technical challenges More ❯

Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation … identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and mentor junior data scientists and consultants within the team. Manage stakeholder relationships at all levels, ensuring … self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC Clearance . More ❯

Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation … identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and mentor junior data scientists and consultants within the team. Manage stakeholder relationships at all levels, ensuring … self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC Clearance . More ❯

Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation … identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and mentor junior data scientists and consultants within the team. Manage stakeholder relationships at all levels, ensuring … self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC Clearance . More ❯

Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation … identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and mentor junior data scientists and consultants within the team. Manage stakeholder relationships at all levels, ensuring … self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC Clearance . More ❯

in how planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine learning models that provide structure and accuracy, and agentic More ❯

in how planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine learning models that provide structure and accuracy, and agentic More ❯