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 CorporationTM 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 CorporationTM
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 competitive benefits.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM 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 applications alone 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 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. Practice coding challenges and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate candidates who want to make a difference in defence technology.
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 your skills in Neural network architecture using PyTorch or TensorFlow front and centre!
Showcase Relevant Projects:Include any projects that demonstrate your ability to solve technical challenges in an R&D environment. We love seeing how you've contributed to mission-critical systems, especially in defence.
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 can hit the ground running without any delays!
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!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨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 similar challenges.
✨Understand the Defence Context
Familiarise yourself with the specific applications of ML in defence. Research current trends and challenges in the industry, as this will help you demonstrate your knowledge and passion for contributing to mission-critical systems.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills in an R&D environment. Practice articulating your thought process clearly, as interviewers will want to see how you approach complex issues and develop innovative solutions.
✨Show Your SC Clearance Readiness
Since eligibility for SC clearance is a must, be prepared to discuss your background and any relevant experience that supports your clearance status. This shows you understand the importance of security in defence-related roles.
