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ML Research Engineer

CircadiaRemote Patient company
London, United KingdomSenior
Data & AI

About the role

Research and develop machine learning models for Circadia Health's clinical monitoring platform.

  • As an ML Research Engineer at Circadia Health, you will research, design, and build the next generation of models and algorithms that power our clinical monitoring platform.
  • Key Responsibilities Research and develop novel models and algorithms that will form the foundation of Circadia's next-generation AI capabilities.
  • Stay current with relevant ML research and rapidly prototype ideas from the literature, adapting them to Circadia's problem domains and data modalities.
  • Formulate, design, run, and learn from experiments with scientific rigor, maintaining clear hypotheses, controlled comparisons, and reproducible results.
  • Requirements Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, or another highly quantitative field.
  • Ability to write production-grade, maintainable code in Python.
  • Solid understanding of classical machine learning techniques with experience applying them to real-world problems.
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Tech stack

PythonTensorFlowPyTorchAWSDockerKubernetes

Match insights

Tech:Python, TensorFlow, PyTorch, AWS, Docker
Level:Senior

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