Machine Learning Engineer

Employer
Harnham
Location
Fleet Street, UK
Salary
Competitive
Closing date
26 Sep 2020

View more

Sector
Technology & New Media
Contract Type
Permanent
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Machine Learning Engineer

London, United Kingdom

Salary up to £40,000 - £90,000 + Benefits

Junior & Senior positions available

Want to work as a Machine Learning Engineer, solving cutting edge solutions and powering change through Data Science, sign up here!

This is a chance to work on projects that will impact the real world and work towards transformations through Machine Learning.



THE COMPANY

This innovative company works with clients and organisations worldwide, join a collaborative team and work building ML and AI models to provide future solutions for clients.This Ai start up is looking to change the future of international trade through text classifcation, Machine Learning and Software Engineering.



THE ROLE

Train Machine learning algorithms using pre trained models, using ML to provide platform success:
  • Build transformer networks using pre-trained models
  • Work with NLP
  • Develop a platform that will operate worldwide
  • Problem solve on a daily basis
  • Analyse large data sets
  • Lead projects within the ML
  • Deploy fully functional models using ML models
  • Deploy Machine Learning models to be highly scalable
  • Research and update algortihms
  • Bring Machine Learning systems into production
  • Mentor the Machine Learning team



YOUR SKILLS AND EXPERIENCE
  • Advanced degree in Machine Learning, Mathematics, Statistics
  • Several work experience in ML
  • PhD preferred
  • Ability to lead projects
  • Come up with innovative ideas
  • Experience leading projects
  • Experience leading a group of Machine Learning engineers
  • Knowledge of python
  • Good mathematical understanding of ML fundamentals
  • Experience deploying Machine Learning algorithms at scale



SALARY AND BENEFITS
  • Earning potential up to £65,000
  • + A number of benefits



HOW TO APPLY
  • Please register your interest by sending your CV to Charlotte York via the apply link on this page
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