Machine Learning Engineer - Spiking Neural Networks

Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems.

MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business.

Machine Learning Engineer role

You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product.

This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects.

The position is predominantly office and customer-site based in West London, although some remote working will be available.

Machine Learning Engineer responsibilities

• 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.

• Current hands-on experience developing Spiking Neural Networks.

• Strong C++ programming and software engineering skills.

• Knowledge of machine vision, image analysis or computer vision.

• The 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 experience

• CUDA and GPU programming.

• Python and PyTorch.

• CNNs, Transformers or broader deep learning architectures.

• Synthetic training imagery and simulation environments.

• ISR imagery or defence-related machine vision.

• Commercial software development alongside academic or research experience.

• An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning.

Security clearance

Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous.

Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks