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Applied Machine Learning Engineer

Job Title: Applied Machine Learning Engineer
Contract Type: Permanent
Location: City of London, London
Industry:
IT
Salary: £80 - £80000.00 per annum
Reference: BBBH59454_1542817844
Contact Name: Alex Fitzpatrick
Contact Email: a.fitzpatrick@parity.net
Job Published: November 21, 2018 16:30

Job Description


Applied Machine Learning Engineer

We are developing the first viable automated handwork robot for glasshouse vegetables using our own AI computer vision and robotics platform.

You'll be working with an impressive team including several PhD researchers from world-renowned universities, and a CEO who worked at google for 5 years & studied at Stanford.
We want you to join our impressive team as a motivated Applied Machine Learning Engineer. Do you have what it takes?
We work as a team, and you'll be looking at problems like crop damage and disease incidence, identifying and implementing sensible algorithmic models in the lab and the field. It's a great opportunity to learn more about cutting-edge Robotics too.

Responsibilities:
Identifying Modelling approaches for the problems at hand
Implement scalable, e2e applied statistical and ML models using python
Prototype working models with existing & artificial datasets
Extend AI models using Neural networks and frameworks
Minimum Qualifications:
A BSc in a relevant field or undeniable practical experience
Ideally you will also have:
Relevant MSc or PhD
Skills
We use Advanced deep AI computer vision, robotics, autonomous vehicles and Machine Learning technologies.
Project experience in real-life research or analytics would help enormously.
Strong python skills w/ mastery of mathematical libraries such as Numpy, Scipy, pandas, sklearn
Strong mathematical background with emphasis on Linear Algebra & statistics
Experience Identifying, implementing, training and validating neural network computer vision models using standard deep learning frameworks
Linux & Git
Experience working with 3D cloud point data
Understanding of ROS
An impressive Kaggle record & experience with Docker, AWS/GCloud, SQL & SQLAcademy

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