These highly intelligent and academically trained professionals leverage cutting edge machine learning algorithms and advanced statistical concepts, to model and optimise complex business decisions. 

Data Scientists generally come with high academic qualifications in a STEMs discipline, strong programming skills in Python (or R) and SQL and demonstrate expertise across a broad toolset of Machine Learning and Statistical Modelling techniques. 

The specialists ensure that the solutions developed by Data Scientists are fully optimised and then productionised into ‘always on’ products and/or solutions.

The work of an MLE generally falls into two buckets. 

Feeding data pipelines into DS/ML/AI modelling environments.

Integrating optimised DS/ML/AI models into live production environments. 

Machine Learning Engineers communally come from a strong Software or Data Engineering background but also demonstrate an exceptional passion for working in cutting edge Machine Learning and AI environments.

Building Recommendation Engines  

Modelling complex decisions over time 

Optimisation of systems and processes 

Automating language-based decisions