DV Cleared Machine Learning Engineer - Spiking Neural Networks

Location: Cambridgeshire, fully onsite at a customer office
Engagement: Permanent or contract
Security clearance: Active UK DV clearance is essential

MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network platform for practical machine-vision and perception applications.

This is an opportunity to turn neuromorphic and event-driven machine learning concepts into reliable, high-performance software. The position requires someone who can move beyond theoretical modelling and build systems suitable for integration into operational products.

The position will be based fully onsite at a customer office in Cambridgeshire.

MFK Recruitment has supported this organisation for several years. We have placed four engineers with the company, and each remains with the business.

• Design and implement Spiking Neural Network models and supporting software.

• Develop reusable components for training, simulation and inference.

• Implement neuron models, synaptic behaviour and learning mechanisms.

• Apply SNN techniques to computer vision, perception and event-driven data.

• Benchmark accuracy, latency, memory usage and computational performance.

• Optimise implementations for CPUs, GPUs and specialist hardware.

• Develop robust testing, validation and profiling frameworks.

• Translate research concepts into maintainable engineering solutions.

• Work with computer vision, software and systems engineers.

• Produce technical documentation and contribute to architectural decisions.

• Active UK DV clearance.

• Strong practical knowledge of Spiking Neural Networks or neuromorphic computing.

• Experience implementing or modifying SNN architectures.

• Understanding of neuron models such as LIF, Izhikevich or related approaches.

• Knowledge of learning methods such as STDP, Hebbian learning or surrogate-gradient training.

• Strong Python development skills.

• Experience with PyTorch or an SNN framework such as snn Torch, Norse, Nengo, Brian2 or Lava.

• Strong mathematical and analytical ability.

• Evidence of building working software rather than concentrating entirely on theoretical research.

• Computer vision or machine-vision applications.

• Event-based cameras or event-driven sensing.

• CNNs, Vision Transformers or conventional deep learning.

• C or C++ development.

• CUDA or GPU optimisation.

• Real-time or embedded deployment.

• Performance-critical simulation engines.

• Robotics, autonomous systems, UAVs or sensor fusion.

• Defence, aerospace or safety-critical systems.

Research backgrounds will be considered where there is strong evidence of practical implementation and high-quality software engineering.

Candidates must already hold active UK DV clearance and be comfortable working fully onsite at the customer’s Cambridgeshire office.