Applied Machine Learning Research Scientist

ECM Selection Limited
Cambridge, UK
28 days ago
Apply on www.ecmselection.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) Computer Vision C++ (Programming Language) Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Scala (Programming Language) Software Engineering Caffe Convolutional Neural Networks
+3 more
Theano Information Technology Unsupervised Learning

Job description

Based at their Cambridge office and working with renowned academic experts and their own world-class scientific team, the Applied Machine Learning Research Scientist will build models based on convolutional neural networks for computer vision. These technologies will provide key understandings that underpin human behaviour within real-time situations., Keywords: Machine Learning, Unsupervised, Models, Decision-Making / Behaviour, Python, C++, C, Java, Scala, Maths, Tensorflow, Torch, Theano, Caffe, Computer Vision

Requirements

  • Demonstrable project experience (commercial or PhD / postdoc) of using machine learning for unsupervised learning techniques (ideally convolutional neural networks and computer vision).
  • Experience using one or more of the following machine learning tools (Theano, Caffe, Tensorflow, or Torch).
  • Applied experience in software development using C, C++, Python, Scala, or Java.
  • 1st or 2.1 degree in maths, computer science or similar from a top ranked university.
  • Experience with complex Open Source development projects would be beneficial.

Benefits & conditions

This is an excellent opportunity to join this venture capital backed company as they look to grow. On offer, as well as interesting work, there is an excellent remunerations package including a wide range of benefits.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.ecmselection.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

2:55 min

Transitioning from traditional software paths to machine learning engineering

Tarek Ziadé · Coffee With Developers

2:32 min

Framework integrations with Firebase and TensorFlow JS

Jessica Janiuk · JS Congress

Videos

See all

Related articles

See all