23 of 23 Applied Mathematics Jobs in London

join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera … developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. ...

considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing ...

cases. Work with the product and engineering team to move models from prototype to production. Evaluate model performance, reliability and robustness in applied settings. Spend time with customers to understand the operational context behind the data. Contribute to the technical direction … platform as one of the first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python ...

develop awareness of responsible AI practices, including risk management and ethical use Education PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline MSc candidates with relevant industry experience may be considered Responsibilities Develops statistical and mathematical models to quantify tropical cyclone risk ...

Technical Skills Experience in econometrics, MMM, or marketing effectiveness. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field What Would Make You Stand Out: Passionate about the power of data and predictive analytics to drive better business outcomes ...

guides, and onboarding materials accessible to non-technical colleagues and clients Requirements Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally ...

particular focus on swaps, employee incentive schemes, embedded derivatives, hedging instruments, and public and private structured credit investments Leveraging technology in applied mathematics, statistics, computer science, and economics to implement Monte Carlo simulations, binomial trees, option pricing models, and securitisation waterfall models Leading all aspects of client … reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committees Requirements: Bachelors, Master’s, or PhD in Finance, Mathematics, Statistics, or a related quantitative discipline Demonstratable relevant experience at a fund, investment bank, consultancy, or related financial services institution (Fewer years of relevant ...

governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast-paced, customer-facing environments. Our Commitment to Diversity and Inclusion At Databricks ...

optimize model performance in live trading environments. Basic Qualifications Education: Ph.D. or Master’s degree in Machine Learning, Computer Science, Physics, Applied Mathematics, Statistics, or a closely related quantitative discipline from a top-tier academic institution. Programming Expertise: Advanced proficiency in Python and C++ within a Linux ...

engage C-suite executives, technical teams, and business stakeholders equally effectively Master's or Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or a related field SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion ...

trading framework. Requirements for a Quantitative Researcher: Master's degree or PhD in a quantitative discipline such as Physics, Engineering, Statistics, Applied Mathematics, Quantitative Finance, or a related field with a strong statistical foundation. Strong programming skills in Python, with the ability to develop efficient and scalable … research tools. Solid understanding of applied statistics, linear algebra, and time series analysis. Experience working with large and complex datasets, including data cleaning, transformation, and analysis. Knowledge of financial markets and an interest in quantitative investing and trading strategies. Self-motivated individual who takes ownership of projects ...

implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Strong sense of ownership, ability to work independently as well as in a team ...

implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Strong sense of ownership, ability to work independently as well as in a team ...

regulation, licensing, payment infrastructure, and operational processes. Education Bachelor's or Master's degree in: Computer Science Software Engineering Information Technology Applied Mathematics or another technical discipline. Additional education in Finance, Economics, Business, or Investments would be advantageous. Professional Competencies Ability to communicate effectively with: software engineers ...

building an innovative and compliant market. The Role You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from … live market conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Requirements Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world ...

influence architectural decisions, not just implement against a fixed specification. The strongest candidates have a deep understanding of both large model inference and the mathematics of stochastic systems, and have built systems that run on real hardware, not just in theory. What You Will Own Algorithm Development : Develop algorithms … systems language Collaborative instinct and ability to work across hardware, architecture, and software teams Bonus Points PhD in machine learning, applied mathematics, physics, electrical engineering, or a related field Exposure to analog or mixed-signal systems, in-memory compute, or non-von-Neumann architectures Experience working ...

platform Partner with stakeholders in research, trading and technology to design and build open-source cluster-compute technologies Monitor the latest developments in applied cluster compute, particularly Python-facing libraries and tools Identify and implement novel solutions by leveraging open-source technologies and contributing back to upstream projects … other low-level/object-oriented languages Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Inclusion, Work-Life Balance and Benefits at Man Group We promote equality of opportunity ...

research, trading and technology, to design and build open-source cluster-compute technologies Be aware of and actively monitor the latest developments in applied cluster compute, particularly Python facing libraries and tools Identify and implement novel solutions - we take the best of what the open-source world … other low-level or object-oriented languages Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Inclusion, Work-Life Balance and Benefits at Man Group You’ll thrive in our working ...

advanced algorithms that transform 2D data into accurate 3D trajectories. The ideal candidate has a strong background in Computer Vision, applied mathematics, and C++ development. This position offers a hybrid working model, with a competitive salary ranging from £76,340 to £109,060 per annum. Join ...