Machine Learning/ML Ops Manager


Are you looking for a ML Ops Manager role thats fully remote - look no further! This company is best in class, and was honored by the Association for Talent Development with the 2021 BEST award.

What's the Job?

As a ML Ops Manager you'll have the opportunity to build your team from scratch, hiring a ML Architect and a MLE. Your focus will start off rather hands on, and as the team grows and progresses you'll have more of a balance between technical work and managerial responsibilities. This technical work includes building the MLOps Frameworks and Pipelines and  productionalizing and monitoring the AI/ML models, all while considering architectural decisions and ML best practices. The tech stack includes Python, SQL, Azure, and Databricks. In an ideal world, you'll have hands on experience with ML Flow as well.

Who Are We?

This company is #1 in travel nursing staffing space, and is growing enormously in terms of tech, data, and engineering team. The goal being over 200 by end of 2022. The company connects healthcare professionals with healthcare facilities across all 50 states. Diversity, equity, and inclusion is also the company mantra, celebrating different backgrounds and experiences.

For over a decade, this company has ranked in the nation's top 5,000 fastest growing companies with over 250% growth over a three year period.


What Skills Do I Need?

  • Fluency in Python, SQL, and/or Scala
  • ML Ops Experience in deployment, re-training, tuning, ect
  • ML Frameworks: Keras, Tensorflow, PyTorch, scikit-learn, ect
  • Data Platforms: Airflow, Kafka, Spark, ect
  • Cloud Platforms: Azure/Databricks
  • Hands on management experience: at least 2 years managing individual contributors


  • $170,000-$200,000
  • Full Benefits Package (Vision, Dental, Health)
  • 401(k) with matching
  • Several other company perks
  • Fully remote


What's in it For You?

This is great opportunity to take your talents to a leading organization where there is no ceiling to your career progression across any of our business arms. As the Machine Learning/ML Ops Manager you will report to the Director of Data Science and partner with internal and external stakeholders. 

Katie Kime

Talent Advocate, Data Engineering

(646) 876-3010