26 to 48 of 48 Applied Mathematics Jobs in London

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 ...

against real-world medical outcomes Contribute to scientific publications and technical documentation Profile PhD or strong MSc in biostatistics, epidemiology, statistics, applied mathematics, or a related field Experience with Bayesian inference and probabilistic modelling Familiarity with health data, physiological signals, or medical datasets Strong programming skills ...

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 ...

insights back into platform development, and ensuring a high-quality user experience. Qualification 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 ...

other disciplines, and want to see your work become a clinical product. Qualifications Must have PhD in biophotonics, computational physics, chemometrics, applied mathematics or a closely related quantitative field. One of: Industry or translational route: 5–8+ years after your PhD delivering R&D outcomes in industry ...

Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply … professional projects or academia. Nice to have Ex-founder or builder PhD/Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. Hands-on experience ...

community. Is this you? If so, we'd love to hear from you. Minimum Qualifications A PhD in computer science, statistics, applied mathematics or related field Peer-reviewed publications at venues such as ICASSP, ISMIR, Interspeech, NeurIPS, ICLR, ICML or related Expertise in generative modelling, machine learning ...

better working world. You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This … diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential. EY | Building a better working world EY is building a better working world by creating new value ...

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. Benefits At Databricks, we strive to provide comprehensive ...

clearly and contribute to the team’s scientific understanding. What a great fit looks like A PhD in control, machine learning, applied mathematics, engineering, physics or a related field, or equivalent research experience. A strong research background in one or more of control theory, data-driven control … learning . Evidence that you can formulate a research question, develop a method and evaluate it carefully, through publications, open-source work or applied research. Strong Python skills and experience implementing machine learning models using tools such as Pandas, NumPy, SciPy, PyTorch. An interest in working closely with ...

simulation or algorithm developmentExperience mentoring engineers and reviewing technical deliverablesEssential qualifications for the Senior Autonomous Systems Engineer :Degree in Engineering, Physics, Applied Mathematics, Computer Science or another STEM disciplineActive SC clearance is desirableWe value difference and we don’t have a fixed idea when it comes ...

Research Assistant. You should hold, or be close to completing, a PhD in Aerospace/Mechanical Engineering, Physics, Computer Science, Applied Mathematics, or a related field. Strong background in one or more of the following areas: high-fidelity CFD, high-performance computing, machine learning, fluid mechanics ...

most cutting-edge AI Infra trends in the industry. Bachelor's degree or higher in Computer Science, Electronic Information, Automation, Applied Mathematics, or related fields; experience in cross-border e-commerce is highly preferred. Deep understanding of the underlying source code and runtime mechanisms of PyTorch, Megatron ...

governanceExperience supporting business growth, customer engagement or strategic technical developmentEssential qualifications for the Principal Autonomous Systems Engineer :Degree in Engineering, Physics, Applied Mathematics, Computer Science or another relevant STEM disciplineActive SC clearance is desirableWe value difference and we don’t have a fixed idea when it comes ...

shortages Write reliable, production-grade code that others can run and trust What they're looking for Quantitative background in operations research, applied maths, statistics, economics or similar Experience with optimisation techniques: linear/integer programming, constraint programming or heuristics Simulation and forecasting skills with data-driven calibration ...

flag the simulation investments that will unlock research progress. What you bring A postgraduate degree (MSc or PhD) in engineering, applied mathematics, physics or a related field, ideally with research involving numerical analysis of PDEs or computational engineering. A PhD is preferred but not required. At least ...

exceptionally strong engineering team with significant technical autonomy What we're looking for: Strong foundations in machine learning, deep learning and applied mathematics Production experience building agentic AI/LLM-based systems Strong programming ability in Python, Rust, C++ or Java Experience with PyTorch, JAX, TensorFlow ...

with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab precision applied to the chaotic world of prototyping and low-volume production: a 10x throughput improvement in one of the world's most foundational industries. … feed the planning and quoting systems, and get checked against what actually happened. What we look for A quantitative background in operations research, applied maths, statistics, quantitative finance, economics or a similar field, and a record of models that changed real decisions. Optimisation: linear and integer programming, constraint ...

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America … design, scientific rigor, and model/systemtrade-offs. Must-haves APhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, appliedmathematics,or a closely relateddiscipline. A strongpublication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related ...