Continuous Intelligence Limited
Machine Learning Research Engineer

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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.
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.
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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.
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.
“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.”
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