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iO Associates

Machine Learning Research

London
£100k – £150k/yr
Posted 1 day ago
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Machine Learning Research

Machine Learning Researcher Role (SC Clearable)

Position: Machine Learning Researcher

Compensation: Competitive Salary Work Mode: Hybrid Security Requirement: Must be eligible for SC clearance

Role Overview & Qualifications

Core Qualifications

  • Advanced Technical Background: Hold a doctorate (or a research-heavy Master’s degree) in Machine Learning, Computer Vision, or an equivalent technical field. A history of peer-reviewed publications is highly valued.

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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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.

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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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It searches the market for you

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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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Strong

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.

  • Computer Vision & 3D Intelligence: Deep practical knowledge of:

    • 3D reconstruction
    • Depth sensing
    • Metric learning
    • Multi-view geometry
    • Scene comprehension
    • Novel rendering methods
    • Self-supervised spatial localization and mapping
  • Production-Grade Engineering: Highly proficient in Python and the PyTorch ecosystem. Proven track record of:

    • Writing clean, thoroughly tested code
    • Contributing to collaborative code reviews

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  • Independent Execution: Proven ability to own the research lifecycle from problem definition to technical execution. Skills to present complex findings clearly to:
    • Technical
    • Non-technical stakeholders
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Skills

Machine Learning
Computer Vision
3D Reconstruction
Depth Sensing
Metric Learning
Multi-View Geometry
Scene Comprehension
Novel Rendering Methods
Self-Supervised Spatial Localization
Mapping
Python
PyTorch
Clean Code
Collaborative Code Reviews
Research Lifecycle
Technical Execution

Location

London, England, United Kingdom

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