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- Tasks: Support cutting-edge ML projects in R&D and deployment for autonomous systems.
- Company: Join a forward-thinking team focused on real-world ML applications.
- Benefits: Competitive day rate, flexible contract duration, and potential for extensions.
- Why this job: Make a tangible impact in defence tech while solving complex ML challenges.
- Qualifications: Strong Python skills and experience with deep learning frameworks required.
- Other info: Work in a dynamic environment with opportunities for growth and innovation.
Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared) UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate
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 Bristol 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 Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML field, attend meetups, and engage in online forums. You never know who might have the inside scoop on a contract role that’s perfect for you.
✨Tip Number 2
Showcase your skills! Create a portfolio of 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 bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Focus on real-world scenarios related to ML deployment and integration, as these are key areas for the roles we’re looking at.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities for cleared ML engineers, and applying directly can give you a better chance of landing that dream contract.
We think you need these skills to ace Machine Learning Engineer in Bristol
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 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 great 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 projects involving model optimisation or integration into real-world systems, make sure to highlight those experiences in your application.
Apply Through Our Website: To ensure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
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 edge deployment or optimising inference, as this will show you're not just theoretical but practical too.
✨Get Familiar with the Company’s Focus
Research the company’s projects related to autonomous and defence systems. Understanding their specific challenges and goals will help you tailor your responses and demonstrate your genuine interest in their work.
✨Be Ready for Technical Challenges
Expect some technical questions or problem-solving scenarios during the interview. Practise explaining your thought process clearly and concisely, as this will showcase your ability to communicate complex ideas effectively.