Role overview
At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are seeking a
Senior AI / MLOps Engineer
to join our Clinical AI team, owning the entire machine learning lifecycle—from data ingestion and model training, to deployment, monitoring, optimization, and retraining in production. This role bridges research and product by operationalizing AI models, ensuring they scale reliably, and building the infrastructure that enables innovation in clinical data processing.
The ideal candidate is a hands-on engineer with deep MLOps expertise, capable of designing robust pipelines and production systems, monitoring model performance over time, and driving the continuous improvement of AI solutions. You will work closely with data scientists and cross-functional teams to integrate AI into IMO products, ensuring that models are reliable, reproducible, and maintainable in production.
What we're looking for
- Experience with clinical or healthcare AI applications.
- Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks.
- Prior exposure to agentic AI and generative AI applications.
- AWS Associate-level certification (Machine Learning Engineer or Solutions Architect).
$140,000 - $200,000 a year
Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page .
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.