11 of 11 Applied Mathematics Jobs in London

champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and CompetenciesStrong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative disciplineUnderstanding of machine learning fundamentals including model training and validation, overfitting, and model evaluationExperience with … risk management and a commitment to responsible and ethical AI useEducationPhD 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 to applyResponsibilitiesSupport ...

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/ ...

code reviews, design discussions, and knowledge sharingDrive adoption of AI best practicesExperience & Qualifications: Master's or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience6+ years (Master's) or 4+ years (PhD) of hands-on experience applying machine learning ...

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 ...

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 ...

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 ...

operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalentStrong grounding in applied mathematics, statistics, and scientific practiceDemonstrated ability to evaluate ML models using quantitative evidence and structured experimentationExcellent Python skills for building, evaluating, and iterating ...

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 ...

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