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Engineering Remote (EU)

ML/AI Engineer

Build the inference layer behind our health-AI - open weights, run on EU soil, measured on what works.

What you'll build

  • Build and optimise inference pipelines on our own GPU infrastructure.
  • Work with open-weight models - from fine-tuning to production.
  • Build evaluation in from the start: we look at data, not opinions.
  • Partner with Research on real-world evidence over anonymised data.

Who you are

  • Strong background in machine learning and MLOps in production.
  • Experience serving LLMs in production, ideally on hardware you controlled.
  • You build systems, not only notebooks.
  • Provenance interests you: knowing which model produced which answer, and proving it.
Apply

The application process

Short and respectful. We reply within a few days at every step.

  1. 01

    Application

    Send your name, email, a short motivation and a link to your CV or LinkedIn. Five minutes.

  2. 02

    First conversation

    A real talk about you, the role and the mission. We always reply - a no, too.

  3. 03

    Technical session

    A concrete session with the team. Real work, no guessing games.

  4. 04

    Decision

    We decide quickly and tell you clearly, whichever way it goes.

Apply for this role

Leave your details. We'll get back to you within a few days.