Quantitative Developer, Research & ML Engineering, Systematic Macro
- Hiring Organisation
- Jobleads-UK
- Location
- Greater London, England, United Kingdom
approaches, applied to high-frequency data Enhance and optimize the pod’s end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validation Contribute to improving the speed, scalability, and reliability of the pod’s wider signal development environment, ensuring … Experience developing and validating machine learning models on large, complex datasets, across both classical and deep learning approaches, in industry or academia Experience building distributed computing systems for machine learning applications Strong Python programming skills beyond the standard research stack — parallelism, distributed compute, and native acceleration such ...