At a Glance
- Tasks: Develop cutting-edge Spiking Neural Networks for practical machine vision applications.
- Company: Join a leading AI and Machine Learning tech company in defence and security.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career progression opportunities.
- Why this job: Make a real impact by transforming advanced research into usable products.
- Qualifications: Experience with Spiking Neural Networks and strong C++ programming skills required.
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.
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.
Desirable experience
- CUDA and GPU programming.
- Python and Py Torch.
- 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, Ph D 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
Machine Learning Engineer - Spiking Neural Networks in Brentford employer: MFK Recruitment
As a leading workplace equipment supplier, this award-winning organisation offers a dynamic and supportive work culture that prioritises innovation and customer satisfaction. Employees benefit from competitive salaries, a bonus structure, and the flexibility of remote work, alongside opportunities for professional growth and development within a thriving B2B market. The company's commitment to employee well-being and success makes it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Spiking Neural Networks in Brentford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MFK Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MFK Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MFK Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MFK Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer - Spiking Neural Networks in Brentford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MFK Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MFK Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MFK Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MFK Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.