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- Tasks: Support cutting-edge ML projects in R&D and deployment for autonomous systems.
- Company: Innovative tech firm focused on real-world applications of machine learning.
- Benefits: Competitive day rate, flexible contract duration, and potential for project extensions.
- Why this job: Make a tangible impact in defence and autonomous systems with your ML expertise.
- Qualifications: Strong Python skills and experience with deep learning frameworks required.
- Other info: Work in a dynamic environment with opportunities for growth and innovation.
This is ML work at the point where research meets reality. You’ll be supporting programmes focused on autonomous and defence systems, working across either:
- R&D / Neural Network Development
- Improving model performance at architecture level
- Working on advanced concepts (e.g. spiking neural networks)
- Deep technical ML problem solving
- Running models on edge / constrained hardware
- Optimising inference (TensorRT, compression, etc.)
- Integrating into real-world systems
Across both, you’ll need:
- Strong Python + deep learning experience (PyTorch / TensorFlow)
- Proven experience either in advanced ML development OR deployment
- Ability to deliver in complex, real-world environments
- Must hold active SC or DV clearance
6–12 months (likely extensions as projects scale) UK-based. If you’re a cleared ML engineer and want to work on projects where performance and deployment actually matter - this is worth a conversation.
Machine Learning Engineer in Aberdeen employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on a contract that’s perfect for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and deep learning frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you tackle real-world ML problems, so be confident!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities for cleared ML engineers like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role you're interested in.
We think you need these skills to ace Machine Learning Engineer in Aberdeen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and deep learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about ML and how your background in R&D or deployment makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Real-World Experience: We love seeing practical applications of your skills. If you've worked on complex ML problems or integrated models into real-world systems, make sure to include those examples. It helps us understand your problem-solving abilities!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around neural networks and deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've tackled complex ML problems.
✨Showcase Real-World Applications
Prepare examples of how you've deployed models in real-world environments. Talk about any experience you have with optimising inference or running models on edge hardware, as this will be crucial for the role.
✨Understand the R&D Landscape
Familiarise yourself with current trends in ML research, particularly in areas like spiking neural networks. Being able to discuss advanced concepts will show that you're not just technically skilled but also passionate about the field.
✨Clearance is Key
Since this role requires SC or DV clearance, be prepared to discuss your clearance status and any relevant security protocols you've worked with. This will demonstrate your understanding of the importance of security in defence systems.