Senior AI Engineer – Animal Health Diagnostics

About the role

We are scaling a fast‑growing health‑technology platform that uses machine learning to detect chronic diseases earlier than current standards. As a Senior AI Engineer you will take promising models to production, directly influencing clinical outcomes.

Key responsibilities

• Design, build and deploy ML models on real‑world clinical and diagnostic data.
• Collaborate with the clinical science team to translate domain expertise into usable features and signals.
• Own the full model lifecycle: pipeline creation, experimentation, deployment, monitoring and iteration.
• Define and improve data‑quality, validation and reproducibility processes as the platform scales.
• Contribute to technical direction within a small, low‑bureaucracy team.

Required profile

• Proven experience shipping ML models into production environments.
• Strong Python skills and familiarity with modern ML frameworks (PyTorch or TensorFlow) and scikit‑learn.
• Hands‑on experience with MLOps practices.
• Comfort working with messy, real‑world structured data; experience with time‑series or longitudinal health data is a plus.
• Pragmatic mindset – know when a simpler model is the right choice.
• Genuine interest in healthcare or diagnostics.

Required skills

• Python
• PyTorch or TensorFlow
• scikit‑learn
• MLOps

What we offer

• Real ownership in a senior, low‑bureaucracy team.
• Direct, measurable impact on health outcomes.