25 of 25 Applied Mathematics Jobs in London

Computational Statistics and Applied Mathematics Expert About the Project We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real … have graduate-level expertise (MS or PhD required; PhD preferred, or MS with 10+ years of relevant experience) in statistics, applied mathematics, or a closely related quantitative field, with real hands-on experience using specialized computational packages — not just theoretical knowledge. You have written code using ...

design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying machine ...

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 ...

contribute to a supportive culture of learning and innovation. What We’re Looking For Familiarity and some experience with machine learning research or applied ML, ideally with expertise in probabilistic models and Bayesian statistics. Experience bringing ML models from prototype to production with supervision. Strong analytical … problem‐solving abilities, and confidence working across disciplines following established guidance. Advanced degree (MSc/PhD) in Computer Science, Statistics, Applied Mathematics, or a related field — or equivalent practical experience. Clear communication skills and a collaborative mindset. Bonus Points PhD in a relevant field. Experience with large ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical ...

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 ...

Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation ...

mass spectrometry is not required; candidates with strong backgrounds in computational physics, statistical physics, machine learning, signal processing, inverse problems, optimisation, applied mathematics or related fields are particularly encouraged to apply. What we can offer you The opportunity to contribute to a pioneering international research programme aimed ...

Obsidian seeks a Computational Statistics and Applied Mathematics Expert to design graduate-level problems for a large-scale AI benchmark. You will craft tasks requiring real scientific software and multi-step workflows, including simulations and result interpretation. You will work with statisticians and applied mathematicians ...

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 ...

Master's degree in Electrical or Electronic Engineering, Mechanical or Buildings Services Engineering, alternatively Computer Science, Software Engineering, Physics or Applied Mathematics at 2.1 or above with areas of study/research in the field of IoT, Building Systems Controls, Connected Environments, Smart Buildings, Robotics, Data Science ...