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 (duplicate – listed twice)

• 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
• Senior ML Engineer
• Head of ML (or similar)

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.