Machine Learning jobs and careers

There is a large range of industries that utilise Machine Learning such as; Financial Services, Healthcare, Government, Marketing and Sales, Oil and Gas and Transport.

Algorithm Researcher
Computer Vision Engineer
Computer Vision Expert
Computer Vision Scientist
Computer Vision Software Engineer
Graduate Machine Learning Engineer
Machine Learning Analyst
Machine Learning Developer
Machine Learning Engineer
Machine Learning Researcher
Machine Learning Specialist
ML Engineer
ML Engineer
ML Software Engineer
ML Specialist
NLP & Deep Learning Scientist
NLP Software Engineer
Research Scientist – Deep Learning
Research Scientist – ML & Image Analysis
Senior Computer Vision Researcher
Deep Learning Researcher

Graduate Machine Learning Researcher
Machine Learning Engineer

At an entry level, junior / graduate Machine Learning professionals on average will be earning between £30k-£35k. At the mid-level you’d be looking to earn £50k-£60k and seniors would be looking to earn £70k+.

The skills needed can be split into 3 categories; fundamental skills, programming skills and machine learning languages.

Fundamental skills: Probability – using techniques like Markov Decision Processes and Bayes Nets | Statistics – being able to analyse variance and test hypotheses | Data Modelling – understanding the structure of datasets, spotting gaps and filling them with data.

Programming skills: Fundamentals – Data Structures | Algorithms | Computer Architecture | b-trees | Sort Algos and Stacks | Software Design – A background in APIs e.g. web APIs and static/dynamic libraries | ML Libraries – e.g. TensorFlow, CNTK, MLib.

Machine Learning languages: C/C++ – e;g; LibSVM, Shark and mlpack | R | Python – NumPy, SciPy Pandas, scikit-learn, Theano and TensorFlow.

There are a huge range of courses online that all help to improve skills in these areas such as; Coursera, Udacity and Kaggle.

A Masters (MSc) or Doctorate (PhD) in a maths, physics, statistics, artificial intelligence (AI), software engineering, engineering or computer science field with technical skills in programming. Statistics and probability are key here as well as demonstrable experience working with large data sets and experience using machine learning and statistical methods.