Machine Learning Scientist

 

Cambridge Quantum Computing is looking to hire a graduate Machine Learning Scientist for its Deep Learning team. The successful candidate will join the London office and will be working in a highly dynamic, research-focused group that develops and applies state-of-the-art Deep Learning techniques to time-series forecasting.

 

Key Requirements

  • A master’s degree in Machine Learning or Statistics from a top-tier University, or a degree in a quantitative discipline (Math, Physics, Computer Science) and relevant experience in the field.

  • Proficiency with Python and its scientific/ML libraries such as Numpy, Pandas, Scikit-Learn, Tensorflow and Keras.
  • Knowledge of Deep Learning fundamentals applied to any relevant domain (Image classification, NPL, etc).
  • A Passion for approaching complex problems with the goal to design and deliver novel practical solutions.

Desirable Skills

  • Hands-on experience in the development and deployment of ML systems gained in a commercial or research environment.

  • Familiarity with time-series denoising and feature extractions, and some of the applicable techniques (Particle filtering, state-space models, fourier and wavelet transforms, etc).

  • Experience in collaborative software development and version-control-systems (git).

 

All candidates must be eligible to live and work in the UK.

The successful candidate will be compensated with a highly competitive salary and will join the company’s attractive share option and bonus scheme.

Applicants should send a CV with cover note to info@cambridgequantum.com

 

Cambridge Quantum Computing Limited
2nd Floor
The Cambridge Union Society Building
9a Bridge Street
Cambridge, CB2 1UB
United Kingdom

info@cambridgequantum.com

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