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Continuous Intelligence Limited

Machine Learning Research Engineer

Oxford
Posted about 17 hours ago
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About us

Continuous Intelligence is building stream-native AI for real-world time-series data. Our models learn from irregular, asynchronous, and multiscale streams of measurements, events, and signals as they unfold in continuous time.

The role

As a founding ML Research Engineer, you will develop novel model architectures for continuous-time data. You will work from mathematical formulation through PyTorch implementation, model training, and empirical evaluation.

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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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.

Your work will shape how our models represent live systems, update as observations arrive, and support continuous prediction and action. You will collaborate across research, systems, and product, contributing beyond a narrow specialism.

Relevant expertise includes sequence models, state-space models, time-series modelling, scientific ML, multimodal learning, large-scale training, and foundation models.

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Details

  • Full-time and on-site in London.
  • Top-of-market compensation with meaningful equity.

Apply through LinkedIn or email careers@continuousintelligence.co.uk with your CV and any relevant research, code, or projects. Applicant information will be used only for recruitment purposes.

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Skills

Machine Learning
Model Architectures
PyTorch
Model Training
Empirical Evaluation
Sequence Models
State-Space Models
Time-Series Modelling
Scientific ML
Multimodal Learning
Large-Scale Training
Foundation Models

Location

Oxford, England, United Kingdom

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