Senior Machine Learning Engineer (MLOps) - Fully Remote

SALARY $150,000 - $200,000

How would you like to be the first Senior Machine Learning Engineer on a newly created MLOps team? The Director of Data Science is seeking a tenured MLE to build this team around. The role is fully remote at a Mission-Driven Healthcare focused company, the best in their space.


What's The Job?

Your focus will be building the ML infrastructure and deploying the models. There are several already in place, but you'll be building numerous models out from scratch also.

As our first Machine Learning Engineering, you'll be setting up the foundations of our MLOps practice. We are heavily using Databricks and are moving to using the Databricks Data Lakehouse Platform shortly.

As part of the MLOps team, you'll report directly to the Director of Data Science and work closely with the Data Science team. Your expertise in the field will shape our direction, and you'll be a key member of scaling the team to 3-4 engineers within the next 12-24 months.


Who Are We?

My client is the leading firm in the travel medical staffing space and they are growing quickly this year. In fact, for over a decade, they have ranked in the nation's top 5,000 fastest growing companies with over 250% growth over a three-year period.


What Skill's Do I Need?

  • 2+ years of MLOps experience.
  • 3+ years working in an ML environment.
  • SQL & Python.
  • You have built, and deployed, ML models from scratch.
  • Must have used the Databricks platform in production.
  • Great communicator and collaborator.
  • You need a minimum of a Bachelors Degree (Computer Science or STEM preferred).



  • $150,000 - $200,000 Base Salary
  • Quarterly Bonus
  • Full Benefits (Medical, Dental, Vision)
  • 401(k) w/ matching
  • Fully Remote


What's In It For Me?

This is an excellent opportunity to be a founding member of a new MLOps team and part of a thriving company overall. You'll be the ML Engineering/MLOps expert working directly with the Director of Data Science to build out MLOps best practices. Here you'll be building ML models from scratch, not just maintaining ones already in place. It's a fully remote position in a mission-driven company.

John Birchall

Director, Data Science & Data Engineering

(646) 766-9575