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Machine Learning Engineer

Machine Learning Engineer
Company: Aurrigo
Location: Coventry, UK
Hours: Full-time (38.75hrs/w)
Sector: Simulation

Employer summary
Aurrigo is a leading international authority on transport technology solutions.
Aurrigo design, build and deploy autonomous vehicles in the UK, Europe, Asia-Pacific and North America. This role will be based at Aurrigo’s headquarters in Coventry, UK within the Advanced Engineering Centre where you will be working alongside like-minded engineers to develop, test and deploy machine learning and computer vision systems to improve the safety and reliability of Aurrigo’s fleet.

What you will do
As a Machine Learning Engineer, you will:
• Develop state of the art computer vision solutions and work with members of the team to integrate these into existing vehicle and simulation codebases.
• Collect and prepare data for the purposes of training machine learning models.
• Write code in a clean and effective manner, with an eye to future scalability.
• Collaborate on roadmaps for developing new functionality which can be presented to the whole team.

What we require from you
• Master’s degree in Computer Science, Machine Learning or Artificial Intelligence. Other STEM subjects considered with relevant industry experience.
• A strong understanding of Machine Learning frameworks e.g. PyTorch or Tensorflow.
• Computer Vision fundamentals: camera calibration, depth perception
• Strong Python & data analytics skills

What we prefer from you
• History of working with object detection and pose estimation systems
• Experience with deploying ML models onto embedded devices
• Exposure to synthetic datasets
• Experience with any of the following: distributed training, cloud computing, remote monitoring, LibTorch
• C++ & Robot Operating System (ROS)
• An interest in aviation and autonomous overall

What skills we are looking for
• Strong analytical and problem-solving skills to build self-contained modules and to troubleshoot issues
• Strong interpersonal skills to communicate and engage with interested parties and project stakeholders at demonstrations
• A collaborative work ethic to drive solutions alongside the rest of the Machine Learning Team.
AU-UK-SIM-REC-03 1 20/09/2022

The directors of the Company are responsible for preparing the financial information in accordance with International Accounting Standards as adopted by the United Kingdom.
It is our responsibility to form an opinion on the financial information and to report our opinion to you.
Save for any responsibility arising under paragraph (a) of Schedule Two of the AIM Rules for Companies to any person as and to the extent there provided, to the fullest extent permitted by the law we do not assume any responsibility and will not accept any liability to any other person for any loss suffered by any such other person as a result of, arising out of, or in connection with this report or our statement, required by and given solely for the purposes of complying with Schedule Two of the AIM Rules for Companies, consenting to its inclusion in the Admission Document.

NEWS HOME INVESTORS JOIN THE TEAM email AURRIGO
UNIT 33 BILTON INDUSTRIAL ESTATE
HUMBER AVENUE, COVENTRY, CV3 1JL. UK
0044 (0)24 7663 5818
PRIVACY POLICY ANTI-SLAVERY AND HUMAN TRAFFICKING POLICY WHISTLEBLOWER POLICY AUTOMOTIVE AVIATION AUTONOMOUS TEAM CONTACT
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