Senior Machine Learning Engineer, Germany
Join a digital health team developing AI-driven technology that is revolutionising cardiology care. You’ll work at the intersection of research and real-world clinical deployment, helping translate experimental ML models into scalable tools that support remote monitoring.
Responsibilities
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Design and run ML experiments on voice-based health biomarkers
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Prototype and validate models aligned with clinical objectives
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Apply signal processing and analytics to identify early physiological changes
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Collaborate with clinicians to translate research into practical applications
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Develop scalable, reproducible ML pipelines for deployment
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Support the transition of research models into clinical-grade solutions
Looking For
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PhD in ML, Computer Science, Biomedical Engineering, Signal Processing, or similar
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4+ years’ experience in ML research or data science
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Strong Python and ML framework experience (e.g. PyTorch, TensorFlow)
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Familiarity with audio/signal processing techniques
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Experience working with cloud infrastructure and reproducible workflows
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Ability to collaborate across technical and clinical teams
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Interest in healthcare AI or regulated environments (desirable)
If you're interested in finding out more, click apply!
Need more help? Reach out<br></br> to one of our team.
We are a trusted partner for every step from Discovery through to Development. So, no matter where you are in your journey, we're here to help you make a difference. We are a trusted partner for every step from Discovery through to Development. So, no matter where you are in your journey, we're here to help you make a difference.
