MFK Recruitment
Machine Learning Engineer - Spiking Neural Networks

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Machine Learning Engineer - Spiking Neural Networks
Salary: £75,000 to £100,000
Location: West London
Working arrangement: Predominantly office and customer-site based, with some remote working available
Employment: Permanent, full-time
MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Essential Experience
- 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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills