Machine Learning Scientist – Classification / Regression

Machine Learning Scientist – Classification / Regression

  • Permanent, Full Time
  • London, UK
  • Applications have closed

Website European Recruitment

Machine Learning Scientist – Classification / Regression / Deep Learning / Python / SQL

Looking for your next position a Machine Learning Scientist?

Responsibilities and Performance Objectives for Machine Learning Scientist:


  • Employ the existing (and develop new) Machine Learning algorithms that can find patterns in large multi-modal data.
  • Provide innovative solutions for the business (e.g., by translating complex commercial problems to Machine Learning problems).
  • Be an active member of teams that provide the business with data-driven apps, insight and strategies.
  • Participate in, lead, and create cross-functional projects and training.For senior roles, lead, inspire and mentor junior scientists and research assistants (interns).
  • Communicate (both oral and written) with colleagues and stakeholders (both internal and external)


Required Attributes  for Machine Learning Scientist:


  • A postgraduate (MSc/PhD/Post-doc) qualification in a numeric discipline such as Statistics, Machine Learning, Computer Science, Signal Processing etc.
  • Scientific expertise and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial experience).
  • In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering).
  • In depth knowledge of advanced statistical theories, methodologies, and inference tools (e.g. familiar with hypothesis testing, (generalized) linear models, additive models, mixture models, non-parametric models, etc.).
  • Proven track record in advanced topics of Machine Learning (e.g., Bayesian inference, hierarchical models, deep learning, Gaussian processes, causal inference, graph theory, etc.).
  • Advanced programming skills in Python and R (and their related data processing, Machine Learning, and visualization libraries).
  • Practical experience in preparing data for Machine Learning (e.g., using SQL and/or NoSQL technologies).
  • Completion of at least one significant project (equivalent of a great PhD research
  • project, and/or a viable commercial product) in applied Machine Learning.


Sounds intresting? Lets talk more…. 

Quick apply or send me your CV to 


#machinelearning #deeplearning #scientist 


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