iO Associates
SC Cleared Machine Learning Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Machine Learning Engineer
Location: Bristol / Hybrid (2-3 days on-site)
Clearance Required: Active UK SC Clearance and British Citizen
Day Rate: £600 Outside IR35 - 6 month contract
The Role
We are supporting our client in the defence sector to build next-generation systems that process complex, real-world visual data in real time. We need an ML Engineer who specializes in computer vision to help move models from experimental codebases into rugged, production-ready systems.
You'll be working with everything from object detection and tracking to multi-spectral imaging, deploying models that operate reliably in high-stakes environments.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Do
- Build & Optimize: Design, train, and deploy deep learning models for object detection, segmentation, and tracking.
- Spatial Awareness: Implement and optimize SLAM algorithms to enable real-time mapping and localization for autonomous platforms.
- Scale: Optimize computer vision pipelines to run efficiently on edge devices and constrained hardware.
- Productionize: Wrap research-grade models into clean, maintainable, and scalable production code.
What We're Looking For
- Core Stack: Strong programming skills in Python and deep familiarity with PyTorch.
- CV & Spatial Expertise: Hands-on experience building computer vision models and working with SLAM (Simultaneous Localization and Mapping) frameworks.
- Engineering Focus: Experience with Docker, CI/CD pipelines, and writing production-grade code.
- Must have prior experience in Defence or Government related work.
- You must hold active SC clearance and be a British citizen.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience optimizing models for edge hardware (TensorRT, ONNX).
- Familiarity with C++ for performance-critical vision and SLAM pipelines.
- Experience handling synthetic data generation or working with imperfect, low-resolution datasets.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location