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 in London 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.
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 in London
✨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! If you’ve got projects or contributions in hardware-constrained ML, make sure to highlight them in your conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge, especially with PyTorch or TensorFlow. We recommend doing mock interviews to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Edge ML Engineer – Defence, Hardware-Constrained, SC Cleared in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with hardware-constrained ML and deep learning. We want to see how your skills in PyTorch or TensorFlow can contribute to our mission-critical systems.
Showcase Your Projects:Include specific projects where you've tackled technical challenges in an R&D environment. We love seeing real-world applications of your skills, especially in defence-related contexts.
Be Clear About Your Clearance:Since SC clearance is a must, make sure to mention your eligibility clearly in your application. We need to know you’re ready to hit the ground running!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on 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 and how you tackled technical challenges.
✨Understand the Defence Context
Familiarise yourself with the defence sector and the specific challenges it faces regarding machine learning. Being able to relate your skills to mission-critical systems will show that you understand the importance of your role.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving scenarios during the interview. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to work under pressure.
✨Show Your Passion for R&D
Express your enthusiasm for research and development. Share examples of how you've contributed to innovative projects in the past, and highlight your eagerness to improve existing models and build new capabilities.
