Machine Learning Engineer - Spiking Neural Networks

• Apply your knowledge of SNNs to the development of a novel machine vision engine.
• Develop high-quality C++ software based on research outputs and product requirements.
• Use machine vision and image-analysis techniques to solve complex engineering challenges.
• Contribute to projects using CNNs and Transformer networks.
• Integrate recent Machine Learning algorithms into production software.
• Support synthetic training-image generation and the curation of real-world ISR imagery.
• Work closely with Researchers to understand and implement technical solutions.
• Contribute to system design, version control, testing and CI/CD pipelines.
• Support colleagues and customers during technical discussions and project delivery.

Technologies:

• AI
• CI/CD
• Computer Vision
• CUDA
• Support
• Machine Learning
• Network
• PyTorch
• Python
• Security

• Current hands-on experience developing Spiking Neural Networks.
• Strong C++ programming and software engineering skills.
• Knowledge of machine vision, image analysis or computer vision.
• Ability to understand research outputs and transform them into reliable software.
• Experience developing maintainable code using version control, testing and CI/CD.
• Strong analytical, problem-solving and communication skills.
• Desirable: CUDA and GPU programming.
• Desirable: Python and PyTorch.
• Desirable: CNNs, Transformers or broader deep learning architectures.
• Desirable: Synthetic training imagery and simulation environments.
• Desirable: ISR imagery or defence-related machine vision.
• Desirable: Commercial software development alongside academic or research experience.
• Desirable: MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning.
• Must be eligible to obtain UK BPSS and Security Check clearance; existing security clearance is highly advantageous.
• Applicants for SC clearance are normally expected to have lived in the UK for the previous five years.