A small entrepreneurial team consisting of sharp business minds and a thorough grounding in applied Machine Learning techniques created an online Data platform that allowed clients to maximise information output and the success across the Globe has led towards a desire to aggressively expand their R&D and Software Engineering Groups.
There is a particular need for an individual with a strong background in Applied Machine Learning techniques specifically focused on anomaly detection techniques on large data-clusters. Your role will be to combine your solid ML background with a strong commercial grounding to understand the various business needs such approaches can be applied to.
Suitable candidates should demonstrate the following:
-A PhD background in the above subjects (MSc profile will be considered if there is commercial experience associated with it).
-Specific experience in large data-sets for anomaly detection, , data cleaning and data pre-processing techniques.
-Practical algorithmic implementation skills (Java, R, Matlab, WEKA etc).
-A strong interest in open source or emerging NoSQL platforms such as mongoDB, HADOOP etc.
The company’s success is due to a broad and global client base (rather than the local economic climate) and is thus looking for internationally minded individuals.
Interested? Get in touch to discuss further.