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Machine Learning Engineer Coordinator

Inside Higher Ed

$75,000 - $90,000
Nov 7, 2025
Gainesville, FL, United States of America
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The University of Florida Lastinger Center for Learning's mission is to improve the quality of teaching, learning, and childcare by researching, developing, and scaling educational innovations for adults and children.

Requirements

  • Strong proficiency in machine learning frameworks and tools such as Azure ML, Snowflake, or PyTorch.
  • Expertise in programming languages (Python, SQL) and cloud platforms.
  • Demonstrated capability in designing and managing data infrastructure and pipelines.
  • Extensive experience in machine learning, data engineering, and DevOps practices.
  • Familiarity with agile methodologies and project management frameworks.
  • Previous experience working in educational technology and learning analytics environments.
  • Strong analytical, collaborative, and problem-solving skills.

Responsibilities

  • Develop, test, deploy, and monitor machine learning models aimed at improving learner retention, performance, and predictive analytics.
  • Provide expert insights and recommendations on the strategic use of analytics and machine learning technologies within educational contexts.
  • Design, implement, and maintain scalable data pipelines to support learning analytics projects.
  • Ensure data integrity, reliability, and compliance with privacy standards and educational data regulations.
  • Lead DevOps processes for the Learning Analytics environment.
  • Collaborate with security and compliance teams to operationalize FERPA aligned data governance practices.
  • Translate requirements into scalable analytics solutions.

Other

  • Associate's degree and two years of relevant experience; or a high school diploma or equivalent and four years of relevant experience.
  • Bachelor's degree and five years of appropriate experience (preferred).
  • Strong communication skills to effectively translate analytics results into actionable insights.
  • Ability to work in a collaborative environment.
  • Ability to mentor student assistants working on data projects.