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iO Associates

SC Cleared Machine Learning Engineer

Bristol
£600 – £650/day
Posted 1 day ago
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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

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Strong

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.

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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.

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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.
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Skills

Python
PyTorch
Computer Vision
SLAM
Deep Learning
Object Detection
Segmentation
Tracking
Docker
CI/CD
TensorRT
ONNX
C++
Edge Computing
Machine Learning

Location

Bristol, England, United Kingdom

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