Jirka Lhotka is a Machine Learning Research Engineer with a decade of experience bridging programming languages, AI, and bioinformatics across startups and leading research labs. He has moved between founding-engineer roles (Deepnote), applied ML at Nexthink, and research internships at DeepMind, and now works on ML research engineering at Apple, combining production instincts with research rigor. Trained at Cambridge and EPFL, he thrives at the intersection of engineering and communication, making complex technical ideas accessible to non-technical stakeholders. Known for tackling NLP and LLM problems in product contexts, he brings both entrepreneurial grit and academic grounding to deliver practical, research-informed solutions.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Cambridge
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at EPFL
Maturita, Mathematics, Mathematical Studies, Physics, Czech, English, Maturita, Mathematics, Mathematical Studies, Physics, Czech, English at PORG
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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