Machine Learning Engineer (SeeByte)

Location: Dean Village, Edinburgh (EH4), EH4

Hours / Days Of Work: Hybrid (60% of time in office) - Permanent, Full-time or Part-time

Job Type: Full-Time

Salary: £40,000 to£45,000 per annum (or pro-rata) + pension scheme and bonus

Job Description:
As a Machine Learning engineer at Seebyte, you can expect to play a key role in exciting and varied projects involving uncrewed systems, working as part of a team developing SeeByte’s software solutions for our clients. SeeByte will support you in gaining an understanding of our domain, services and customers as you become an integral part of the team.You will take part in the development and tuning of models for object detection and classification using state of the art Deep Neural Networks.You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulationsYou will be involved in defining and implementing new areas of technology and shaping SeeByte’s technology roadmap.
Experience And Qualifications:
Graduated with a degree level or higher qualification which includes Machine Learning and Artificial Intelligence (deep neural networks).Have experience with modern Machine Learning techniques and libraries such as TensorFlow, pyTorch, scikit learn.Have experience of using C++ and/or Python.You will have strong numeracy and critical thinking skills.Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision.Knowledge and experience of data mining/machine learning /deep learning algorithms.Management and processing of Big Data.
Application Process:
Apply via link below.

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