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Suna Health

Founding ML Engineer

London
Posted 1 day ago
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The First Wearable for your Gut & Nutrition (www.suna.health)

You turn raw signals from the body into things people can read and act on. This is the hard, unsolved centre of the company. The sensors give us continuous data nobody has had before, and your job is to find the patterns in it and make them legible to a normal person.

Quick facts:

  • London, in person
  • Full-time
  • Competitive salary + equity
  • Small founding team

What this actually is

Nobody has properly cracked real-time signals from this part of the body. We are building the first wearable for gut and nutrition, on a mission to make the human body understandable to anyone. This is a real seat on the founding team. You own your patch end to end, and what you own grows as fast as you can carry it.

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.

P

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

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.

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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.

What you'll own

  • The full modelling pipeline: messy real-world sensor data in, readable insight out
  • Signal processing work on continuous physiological data
  • Models that run efficiently on-device and on the backend, and the judgement of what goes where
  • How we validate that what we tell people is actually true. Rigour is the product

You'll fit if you:

  • Run at a high level of agency. You see what needs doing and do it, no hand-holding.
  • Ship. Models in production, papers with code, Kaggle, a startup. These count more than a basic CV.
  • Are as strong at the unglamorous parts (labelling, cleaning, validation) as at the modelling.
  • Can hold yourself to scientific honesty when the easy path is an impressive-looking demo.
  • Stay with things. We back people who commit to a mission, not job-hoppers.

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Bonuses:

  • Wearable or physiological sensor data experience
  • A health, physiology or biosignals background alongside the engineering
  • Obsessive about something niche
  • Scrappy by default

Dealbreakers

  • Be honest with yourself before you apply. This is not the one if:
    • No prior interest in health or health tech.
    • You are high maintenance.
    • You hop jobs. It is a red flag for us.
    • You chase big names and vanity metrics over the mission.
    • You want a strict 9-to-5. This will never be that.

We are incredibly selective with who we want to join us - if you think you're as mission-driven and people-driven as us, show us why you deserve a seat at Suna.

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“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

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Skills

Machine Learning
Signal Processing
Data Analysis
Modeling
Health Tech
Sensor Data
Scientific Honesty
Data Validation
Kaggle
Startup Experience

Location

London, England, United Kingdom

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