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.
- 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.
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 firstname.lastname@example.org