At a Glance
- Tasks: Transform cutting-edge research into real-world machine learning solutions in defence.
- Company: Major player in the defence sector with a focus on innovation.
- Benefits: Competitive salary, opportunities for mentorship, and a chance to lead technical direction.
- Other info: Enjoy autonomy and drive projects independently in a dynamic environment.
- Why this job: Make a significant impact by deploying advanced computer vision technologies.
- Qualifications: Deep expertise in computer vision and active SC or DV clearance required.
The predicted salary is between 60000 - 80000 £ per year.
Hi! I'm working with a major player in the defence sector, and they are looking for experienced Machine Learning Engineers with extensive experience in computer vision. You'd basically be the bridge between cutting-edge research and live deployment - taking theoretical concepts and turning them into real-world solutions, with plenty of space to mentor others and steer the team's technical direction.
The Non-Negotiables:
- Computer Vision: You absolutely must have deep, proven experience in computer vision.
- Clearance: You must hold an active SC or DV clearance and have lived continuously in the UK for the past 5 years.
- Background: You must have previous experience working directly within Central Government or the Defence sector.
What You Bring to the Table:
- CV Expertise: A really solid grasp of modern computer vision methods - think SLAM, 3D geometry, depth estimation, and object tracking.
- Deployment: You know how to actually ship code. Hands-on experience getting models out of testing and into production (especially with ONNX or TensorRT) is a big plus.
- Research Savvy: You're totally comfortable reading through academic papers, testing out the latest models, and figuring out how to integrate them into commercial software.
The Tech Stack: Strong Python skills are a must, along with plenty of experience using PyTorch, OpenCV, Torchvision, and standard MLOps tools like Weights & Biases or PyTorch Lightning.
Autonomy: You don't need micromanaging. You're happy to make the big architectural calls, set your own direction, and drive projects forward independently.
SC/DV Machine Learning Engineer in London employer: IO Associates
Join a leading player in the defence sector, where innovation meets purpose. As a Machine Learning Engineer, you'll thrive in a collaborative work culture that values mentorship and technical leadership, while enjoying opportunities for professional growth in a field that directly impacts national security. With a focus on cutting-edge technology and a commitment to employee development, this role offers a unique chance to contribute to meaningful projects in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land SC/DV Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the defence sector or those already working as Machine Learning Engineers. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We love seeing practical applications of your expertise!
✨Tip Number 3
Prepare for the interview! Brush up on your knowledge of SLAM, 3D geometry, and object tracking. Be ready to discuss how you've deployed models in the past. We want to see your hands-on experience shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who can bring their unique skills to our team.
We think you need these skills to ace SC/DV Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Computer Vision Skills:Make sure to highlight your experience with computer vision in your application. We want to see your expertise in SLAM, 3D geometry, and object tracking right from the get-go!
Demonstrate Your Deployment Experience:Don’t forget to mention any hands-on experience you have with getting models into production. If you've worked with ONNX or TensorRT, let us know how you made it happen!
Be Clear About Your Clearance:Since we’re working in the defence sector, it’s crucial to state your active SC or DV clearance upfront. This helps us understand your eligibility straight away.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at IO Associates
✨Showcase Your Computer Vision Expertise
Make sure to prepare specific examples of your experience with computer vision techniques like SLAM, 3D geometry, and object tracking. Be ready to discuss how you've applied these methods in real-world projects, as this will demonstrate your depth of knowledge and practical skills.
✨Highlight Your Deployment Experience
Since deployment is key for this role, come armed with stories about how you've successfully shipped code into production. If you've worked with ONNX or TensorRT, mention it! This shows you can bridge the gap between theory and practice, which is crucial for the position.
✨Demonstrate Research Savvy
Brush up on recent advancements in machine learning and computer vision. Be prepared to discuss academic papers you've read and how you might integrate new models into existing software. This will show that you're not just a practitioner but also someone who stays at the forefront of the field.
✨Emphasise Your Autonomy
This role requires someone who can work independently and make architectural decisions. Share examples of past projects where you took the lead, set your own direction, and drove results without needing micromanagement. This will highlight your ability to thrive in a self-directed environment.
