1 to 25 of 41 Applied Mathematics Jobs in London

machine learning technologies. This is an opportunity to join a growing, highly technical team working at the intersection of AI research, applied mathematics, engineering and real-world applications. The Role We are seeking an Applied Scientist specialising in Machine Learning, Causal Inference and Mathematical Modelling … research teams to implement and deploy models into practical applications. Contribute to research, experimentation and the development of novel methodologies. Essential Experience Degree in Mathematics, Statistics, Physics, Engineering, Computer Science or another relevant quantitative discipline. Strong experience in machine learning, statistical modelling or applied mathematical research. Practical ...

diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation Experience … management and a commitment to responsible and ethical AI use Education PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Climate Science, Applied Mathematics, Data Science, Computer Science or a related quantitative discipline Candidates with a relevant MSc and strong research or industry experience are also encouraged ...

shelf tooling.* Communicates precisely across technical and non-technical audiences including senior stakeholders.* Degree in computer science, physics, applied mathematics, astrophysics, automatic control, mathematics, software engineering, electrical engineering, or a related quantitative field.**Awesome to have*** Experience building end-to-end ML systems in early-stage ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … market making, and robust financial risk controls. Job responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics — stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques — closed-form and adjoint/algorithmic ...

generative AI platforms, multi-agent systems, and intelligent automation that will process billions in credit decisions; work on problems at the frontier of applied AI while seeing your work directly change how analysts and financial markets operate Work at the cutting edge of ML technology – Experiment with … network models using PyTorch with focus on performance optimization and scalability Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field (Master's or PhD is strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/ ...

generative AI platforms, multi-agent systems, and intelligent automation that will process billions in credit decisions; work on problems at the frontier of applied AI while seeing your work directly change how analysts and financial markets operate Work at the cutting edge of ML technology – Experiment with … network models using PyTorch with focus on performance optimization and scalability Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field (Master's or PhD is strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/ ...

model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design … execution, and prioritization Foster engineering consistency, standards, and best practices within Research Requirements Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical ...

marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms ...

globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

Technical SkillsStrong 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, SQL, Excel, and visualization tools; experience with Databricks, Azure, or other cloud/data platforms ...

training/fine-tuning neural networks using frameworks like PyTorch Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow ...

CICD-style implementation/release methodologies with a large complex codebase. Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field. Additional Relevant Experience Prior role as a quantitative developer supporting a multi-asset systematic trading business. Experience with a broad ...

onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications 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 ...

Build a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. Extensive industry experience with developing machine learning models and creating ...

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 ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

trading activities, parameter calibration and continuous strategy improvement Co-founder & Head of Quantitative Trading Research - Qualifications Strong background in quantitative finance, applied mathematics, statistics, physics, computer science or a related discipline Proven experience researching or developing high speed/frequency trading strategies. Strong understanding of FX trading ...

trading activities, parameter calibration and continuous strategy improvement Co-founder & Head of Quantitative Trading Research - Qualifications Strong background in quantitative finance, applied mathematics, statistics, physics, computer science or a related discipline Proven experience researching or developing high speed/frequency trading strategies. Strong understanding of FX trading ...

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 ...

measurable workflow or decision impact. Your Qualifications Bachelor's or advanced degree in Computer Science, Software Engineering, Data Science, Statistics, Applied Mathematics, or a related field; equivalent production ML or data engineering experience considered. 8+ years of hands‐on experience building, deploying, and operating production ML systems ...

with an understanding of cloud-native AI platforms Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block ...

with an understanding of cloud‐native AI platforms Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block ...

Statistics/Machine Learning Hikaros Quant Lab (HQL) is a quantitative research and technology lab focused on solving difficult problems in financial markets through mathematics, statistics, machine learning and computation. We are assembling a small, highly selective research team and are looking for exceptional problem-solvers who want … frontier of quantitative research. You do not need a background in finance or trading. We are particularly interested in people whose expertise comes from mathematics, statistics, machine learning, physics, computer science, scientific computing or other research-intensive disciplines. We believe exceptional research ability is transferable: the financial domain ...

integration of models into the broader software platform Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field Strong experience developing machine learning models for time-series or sensor data Strong programming skills in Python Experience with machine learning frameworks ...

insights back into platform development, and ensuring a high‐quality user experience. Qualifications and Experience Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front‐office quant, strategist, or quantitative research role, ideally ...