Demonstrable experience of working with clients in using NaturalLanguage Processing to develop practical business applications
Understanding of supervised and unsupervised learning, pattern recognition, Bayesian
statistics, time series analysis, HMMs and latent variable methods.
Experience of medium to large projects where you applied principled machine learning theories and techniques.
Experience in handling large datasets.
Ability to keep track of the latest research.
Good communication and presentation skills.
Good publication record.
Willing to pick up another programming language.
Desirable Skills and Experience:
Experience in LabVIEW
Experience in deep learning
Knowledge of AI applications within the financial services sector or willingness to learn
Knowledge/experience of speech recognition is a bonus.
The core activities of this role include:
Applying statistics and machine learning models for energy disaggregation problems.
Turning theoretical ideas into prototype algorithms.
Coordinate and manage the work of junior members of the development team