Deep Learning Engineer - London - Salary + Equity!

Cubiq Recruitment

DEEP LEARNING ENGINEER - LONDON - Excellent Salaries + very attractive stock options!

DEEP LEARNING ENGINEER – LONDON – Excellent Salaries + very attractive stock options!

We are working with one of the UK’s most exciting start ups who have great plans to grow over the coming year and beyond. We are looking for a driven deep learning engineer with ideally computer vision experience. Our client focuses on the application of Computer Vision / AI technology to a multi-billion dollar industry by creating an analytics platform that uses real-time data to provide predictive intelligence.

Within the Machine learning team, you will contribute to the enhancement and deployment of the processing pipeline as well as optimizing key components. You will work alongside internal and external industry experts and academic partners to research the latest insights in technology and implement them at our client.

Personally, you will be a driven individual that is interested in contributing to a prospering and successful company. You will be required to work independently as well as part of a team as well mentor more junior members of the team. Given our clients size, this opportunity offers an excellent route for progression which will be supplemented with market leading training and support.
  • Proven experience in designing, training and implementing machine learning and deep-learning models
  • Highly proficient in Python
  • Familiarity with relevant frameworks such as Pytorch and Tensorflow
  • MSc/ PhD in deep learning, Computer vision, machine vision or related topics – not necessary given significant commercial experience
  • C / C++ / Go / Ruby etc
  • 3D data processing and analysis
  • Docker / Kubernetes or equivalent
  • AWS
This is truly a special opportunity that would best suit someone that wants to dedicate themselves to a vision and make a valuable impact alongside like-minded individuals.

If this sounds like something that sounds interesting then please apply via the link.