Build scalable machine learning platforms at PointClickCare using Python, Java, and MLOps expertise. This role supports AI products across healthcare. As a Senior Machine Learning Systems Engineer, you will design, build, and operate platform capabilities for model development and deployment. You will collaborate with Product and Engineering teams while supporting training, evaluation, serving, monitoring, and secure integrations. The centralized team develops traditional and hybrid ML/LLM solutions. Key Responsibilities:
Translate machine learning needs into reusable platform capabilities Build data and machine learning pipelines Maintain MLOps tooling, registries, and experiment workflows Monitor production reliability, performance, and observability Mentor engineers on reusable platform patterns Requirements:
Expert Python and Java proficiency Machine learning platform and MLOps experience Azure, AWS, or Google Cloud Platform experience Docker and Kubernetes containerization experience Strong software engineering fundamentals Apply machine learning platform, MLOps, Python, and Java expertise to scalable AI systems at PointClickCare.
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Senior Machine Learning Platform Engineer in Mississauga employer: The Institute for Performance and Learning
Accurx is an exceptional employer for Senior Machine Learning Engineers, offering a unique opportunity to contribute to meaningful healthcare solutions in a collaborative and innovative environment. With a strong focus on employee growth, flexible working arrangements, and comprehensive benefits including enhanced parental leave and healthy meals, Accurx fosters a culture that values both professional development and personal well-being. Located in the vibrant Shoreditch area of London, employees enjoy a dynamic workplace that encourages creativity and teamwork while making a real impact on patient care.
Contact Details:
The Institute for Performance and Learning Recruitment Team
