1 to 25 of 48 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 ...

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 ...

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 ...

4. Reinforcement learning (e.g., multiarmed bandit). Demonstrable working experience of python and SQL, (knowing R is also helpful). Experience collaborating on applied statistical research or designing commercial statistical features/applications Experience … with AI applications Education Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics Communicating Effectively Driving Continuous Improvement Driving for Results Interacting with People at Different Levels Optimizely is committed to a diverse and inclusive workplace. Optimizely ...

startup with the scale, resources, and domain expertise of one of the world's leading engineering firms. You'll work on challenging applied machine learning problems spanning optimization, simulation, and real-world engineering systems, building models that move beyond experimentation and into products used to solve tangible infrastructure … QualificationsMust-Have Qualifications Proven experience developing and deploying ML models in production settings Master's or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth ...

approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems … Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience: A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing ...

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 ...

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 ...

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 ...

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 ...

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 ...

production-ready machine learning solutions, exploring, prototyping, and deploying ML approaches from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against threats, directly contributing to safer, more resilient systems deployed where they matter … scientific codebase. Provide advice and explain core ML concepts to customers and partners. Core Skills & Experience: A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well ...

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 ...

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 ...

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 ...

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 ...