Machine Learning Researcher Probabilistic Modelling
Machine Learning Researcher (Probabilistic Modelling, Complex Data)
We are looking for a Machine Learning Researcher(Probabilistic Modelling, Complex Data) to join our research led startup as we continue to investigate and disrupt current research into Machine Learning algorithms. We are a small and highly academic team; we want to create the most effective and disruptive patents to attack problems in big data. We want our new platform to compete with global leaders like tensor flow. As a Machine Learning Researcher, you will be building a challenging Times Series forecasting, Bayesian Data, Gaussian Processes.
We are a growing team of twenty people, and we believe in creating a collaborative and agile environment where we can truly disrupt the field of Machine Learning. We have brand new and modern offices based in central Oxford, where our new Machine Learning Researcher will help us to tackle a range of different real world problems.
What we can offer a Machine Learning Researcher (Probabilistic Modelling, Complex Data):
- To work at the forefront of ground-breaking technologies within Machine Learning, AI and NLP
- To become an expert in Machine Learning systems
- Competitive salary and stock options
- A chance to apply your research in Times Series forecasting, Bayesian Data, Gaussian Processes to real world problems
- To work alongside top academic minds
Key Skills for a Machine Learning Researcher : Machine Learning Machine Learning Researcher, Researcher, Research, PhD, Publications, Times-Series Forecasting Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, Julia, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics, Economics, Mathematical algorithms.
Apply now for immediately consideration regarding this opportunity!
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