Machine Learning Software Engineer - R&D/Computer Vision/Python/C++
Machine Learning Software Engineer
We are looking for extremely bright engineers from graduate level up to experienced architects to join us as machine learning software engineers in our R&D team in either Uxbridge (West London)
You will build enterprise level machine learning architecture within our big data back end, designing algorithms to detect anomalies across large datasets in a real time capacity.
You will research the latest ML technologies and implement them within our stack.
Developing and empirically statically robust models of user, entity and network behaviour to identify anomalies in multi-variant time series data.
Using a range of technologies including deep learning with LSTM, collaborative filters, density estimators, ARIMA, clustering and regression algorithms you will develop and empirically assess statistically robust models of user, entity, and network behaviour to identify anomalies in multi-variant time series data.
You’re a passionate technologist with impressive programming abilities. You jump into any dark cave in the entire software stack without fear. You’re not committed to any one tool, but like to use the right tool for the job. You take pride in what you do, always leaving things a little cleaner than you found them. You’re interested in building software as a craft, and you’re as committed to write airtight tests as you are to implement shiny new features.
You get immense pleasure from using chaos-engineering principles to make the entire system robust.
You have achieved excellent academic results from a leading university or can demonstrate some serious ninja skills. You want a career where your creative abilities will make a difference to the world of technology and be part of an impressive R&D environment.
Desirable experience and skills
Strong competence as a Machine Learning Software Engineer.
Experience with Python, Scala, Apache Spark, Tensorflow, MapReduce, Numpy, Scikit
Mayflower is acting as an Employment Agency in relation to this vacancy.