Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared

Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared

Full-Time 60000 - 80000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Tackle technical challenges in R&D, enhancing ML models for defence systems.
  • Company: Join a certified B Corporation focused on socially responsible recruitment.
  • Benefits: Competitive salary, SC clearance support, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and mission-critical projects.
  • Why this job: Make a real impact in defence tech while working with cutting-edge ML tools.
  • Qualifications: Experience in hardware-constrained ML and deep learning with PyTorch or TensorFlow.

The predicted salary is between 60000 - 80000 € per year.

SR2 | Socially Responsible Recruitment | Certified B Corporation™ is seeking a Machine Learning Engineer in Greater London. The ideal candidate will have experience in hardware-constrained ML and deep learning expertise, particularly in Neural network architecture using PyTorch or TensorFlow.

You'll solve technical challenges in an R&D environment, contributing to mission-critical systems in defense. Eligibility for SC clearance is required. This opportunity involves improving existing models and building core product capabilities.

Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

At SR2, we pride ourselves on being a socially responsible employer that values innovation and collaboration. Our work culture fosters creativity and inclusivity, providing employees with ample opportunities for professional growth and development in the cutting-edge field of machine learning. Located in Greater London, we offer a dynamic environment where you can contribute to impactful projects in defence while enjoying a supportive team atmosphere and a commitment to ethical practices.

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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared

Tip Number 1

Network like a pro! Reach out to folks in the defence and machine learning sectors on LinkedIn. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving hardware-constrained ML. This is your chance to shine and demonstrate your expertise in PyTorch or TensorFlow.

Tip Number 3

Prepare for technical interviews by brushing up on neural network architectures. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared

Machine Learning
Deep Learning
Neural Network Architecture
PyTorch
TensorFlow
R&D Environment Experience
Technical Problem-Solving

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with hardware-constrained ML and deep learning. We want to see your expertise in Neural network architecture using PyTorch or TensorFlow, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with the mission-critical systems in defence that we work on.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Know Your Tech Inside Out

Make sure you’re well-versed in hardware-constrained machine learning and deep learning frameworks like PyTorch or TensorFlow. Brush up on neural network architectures and be ready to discuss your past projects where you tackled technical challenges in R&D environments.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've improved existing models or built new capabilities. Think about the challenges you faced and how you overcame them, especially in mission-critical systems related to defence.

Understand the SC Clearance Process

Since eligibility for SC clearance is a must, familiarise yourself with the process and requirements. Be prepared to discuss your background and any relevant experiences that demonstrate your suitability for this level of clearance.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, team dynamics, and future directions in defence technology. This shows your genuine interest and helps you assess if it’s the right fit for you.