Top Healthtech Machine Learning Engineer Jobs

Design and develop machine learning solutions, build ML pipelines, apply NLP and deep learning techniques, ensure model reliability, and mentor junior engineers.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

The Staff Machine Learning Engineer will design and build scalable ML systems for health insights, collaborating with cross-functional teams to ensure compliance and quality in production-ready services.

Design, develop, and deploy optimization and machine learning models for outbound supply chain replenishment. Analyze large supply-chain datasets, collaborate with cross-functional partners to translate business needs into technical solutions, implement process improvements, and communicate results to non-technical stakeholders.

Design, build, and own algorithmic systems that evaluate providers, make recommendations, and optimize outcomes across cost, quality, and access. Define objective functions and metrics, run experiments, deploy scalable production models, and iterate based on real-world healthcare outcomes while collaborating closely with engineering and business stakeholders.

Develop, validate, and interpret ML models and end-to-end pipelines to predict oral drug absorption using large, heterogeneous biopharmaceutics and clinical datasets. Emphasize model explainability, uncertainty quantification, and mechanistic/physics-informed approaches, translate outputs into actionable insights for drug development teams, and communicate results via reports, presentations, and publications while contributing to AI-enabled predictive platforms.

Develop and optimize ML pipelines and Language Models, implement agentic AI systems, deploy ML components on GCP, and improve models based on feedback.

Lead engineering for Headway's Patient Core Experience to build ML-powered matching, LLM-enabled patient features, and AI-era engineering practices. Own technical strategy, roadmap, and cross-functional triads to improve patient funnel metrics while scaling and managing engineering managers and teams in a regulated healthcare marketplace.

Develop advanced algorithms, apply machine learning, collaborate with clients, and assess new datasets and technologies for data science projects.