Summary
Martin Ferianc is a Machine Learning Engineer based in London with a PhD from UCL and a decade of hands-on experience bridging Bayesian research and production ML systems. Currently at G-Research, he focuses on large-scale distributed training and low-latency inference for quantitative finance, combining PyTorch expertise with high-performance profiling and time-series know-how. His background spans industrial placements at ARM, AWS and FPGA acceleration projects, giving him uncommon fluency in both software-hardware co-design and model quantisation for resource-constrained deployments. At Helsing he led robustness tooling for video models—building augmentation and annotation systems that multiplied dataset scale and slashed labeling time. He publishes in top workshops and has translated research into patents and open-source contributions, often emphasizing uncertainty quantification and reliable AI. Martin’s work sits at the intersection of principled Bayesian methods and practical optimisation, enabling safer, faster ML in production.
10 years of coding experience
3 years of employment as a software developer
Summer School: The Machine Learning Summer School, Machine Learning, Summer School: The Machine Learning Summer School, Machine Learning at Telkom University
MEng. Electronic and information Engineering, Computer Engineering, MEng. Electronic and information Engineering, Computer Engineering at Imperial College London
Summer School: Deep|Bayes, Machine Learning, Summer School: Deep|Bayes, Machine Learning at Higher School of Economics
The University of Hong Kong (HKU)
University College London
Summer School: The Oxford Machine Learning Summer School, Machine Learning, Summer School: The Oxford Machine Learning Summer School, Machine Learning at University of Oxford
Summer School: Finding Nano, Nanotechnology & Nano-electronics, Summer School: Finding Nano, Nanotechnology & Nano-electronics at Technical University of Munich
Summer School: Paris artificial intelligence summer school, Artificial Intelligence, Summer School: Paris artificial intelligence summer school, Artificial Intelligence at INRIA
Summer School: CIFAR DLRL, Machine Learning, Summer School: CIFAR DLRL, Machine Learning at Mila - Quebec Artificial Intelligence Institute
Norwegian University of Science and Technology
High School Diploma, Physics, Mathematics, English B, Slovak A, History, Computer Science, High School Diploma, Physics, Mathematics, English B, Slovak A, History, Computer Science at International Baccalaureate
Summer School: The Machine Learning Summer School, Machine Learning, Summer School: The Machine Learning Summer School, Machine Learning at Max Planck Institute for Intelligent Systems
English, Slovak, German, Czech