Computer Vision Senior Data Scientist

My client is a software development company specialising in developing artificial general intelligence.

Job Summary

My client requires a Senior Data Scientist with a passion for both technology and the development of practical usable applications to join a growing project team. The project team will work on the development of novel enhanced Transformer and Convolutional Neural Networks. The novel enhanced neural networks will be core components of a range of future products bridging the performance gap between existing Transformer and CNN solutions and the future Spiking Neural Network.

Requirements

• Enhance our machine learning software with the latest in machine learning/deep learning/computer vision algorithms.
• Apply your existing knowledge of Transformers and CNNs, machine vision and image analysis techniques to the development of enhanced neural network systems based on our research outputs.
• Contribute to development and software engineering efforts to develop solutions to our most pressing problems and to put your work into practice.
• Participate in defining the software development roadmap and in holding responsibility for delivering core components of our machine vision and image analysis products.
• Work with research colleagues and offer technical support to colleagues in commercial roles in developing business opportunities.
• Produce project deliverables by challenging milestone dates.
  

Required

Skills and Qualifications

• Strong experience in Python and Pytorch
• Able to create and explain your own customised solutions for specific problems such as customised neural networks, loss functions, optimisers, metrics.
• Able to discuss and apply latest state-of-art deep learning/computer vision papers.
• Experience in developing Transformer and CNN -based applications.
• Proven contribution to design, development and scaling of high quality, practical reliable software.
• Enthusiastic about working in a fast-paced engineering team.
  

Preferred

• Experience using Transformer or CNN neural networks for real-time multiple object detection & localisation, tracking, segmentation, pose estimation or similar computer vision tasks.
• Experience modifying or creating novel Transformer and CNN architectures to deliver increased classification and detection & localisation accuracy and in optimising performance.
• Work with high/low resolution aerial or satellite images.
• SCRUM or other agile/rapid development methodology experience.
• Kubeflow, Docker, Kubernetes experience.
• Worked with GANs, familiar with synthetic data generation/synthetic imagery.
• Familiarity with Unreal or Blender and 3D modelling.
• Experience working with academic and/or industrial researchers.
• Working with important defence sector clients. You will need to be able to pass security clearance processes to at least BPSS and, preferably SC level
  

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