Company

Re&MSee more

addressAddressLondon, England
type Form of work- Permanent
salary Salary£35,000 - £40,000 a year
CategoryScientific

Job description

Machine Learning Engineer/Computer Vision Scientist (Home Working) A skilled Computer Vision Scientist/Engineer to join a team of experienced technical personnel. This is an exciting opportunity to join a young technology company developing a new range of solutions that utilise deep learning techniques to solve real-world computer vision problems. Reporting to the Head of Machine Learning, you will be a technology driven individual with at least 1 years experience in using machine learning for commercial applications. fMachine Learning Engineers/Computer Vision Scientists will have some of the following experience; Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design and evaluation, data structures, problem solving, and complexity analysis Bachelor’s degree or equivalent with a significant focus on computer vision (object detection & tracking; low light image enhancement; person re-identification; and video semantic understanding) or similar from a top-tier university. Experience using a range of Machine Learning Frameworks and conversions Experience using the Python programming language Demonstrable experience of evaluating and deploying DL solutions in an embedded environment for real-time execution Desired Skills/Experience; Masters in the area of Computer Science with a focus on ML/DL Experience of computer vision algorithm optimisation for embedded and GPU based Demonstrable interest in computer vision both in and out of the Use of version control software (SVN, GIT, ) The company operates an entirely remote working policy. The successful candidate would be expected to travel to a central London location on average 2 times per month for face to face company meetings (project planning, sprint, reviews). As a Home Worker, we would expect you to have an appropriate working environment and excellent internet access.
Refer code: 3146979. Re&M - The previous day - 2024-04-06 12:40

Re&M

London, England
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