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Weekend Machine Learning Jobs in Tennessee (NOW HIRING)

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$118.30K - $156K/yr

The Senior Machine Learning Engineer will contribute to both classical machine learning and generative AI applications, collaborating closely with AI Product Managers and a distributed team to build ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$118.30K - $156K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves asInovalon'scentral AI and machine learning hub. This team partners with Provider, Payer, and ...

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Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Tennessee? The most popular types of Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Weekend Machine Learning jobs? Cities in Tennessee with the most Weekend Machine Learning job openings:
Infographic showing various Weekend Machine Learning job openings in Tennessee as of May 2026, with employment types broken down into 3% As Needed, 77% Full Time, 11% Part Time, 1% Temporary, 4% Contract, and 4% Nights. Highlights an 69% Physical, and 31% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Upperline Health

Nashville, TN • On-site

Full-time

Posted 12 days ago


Upperline Health rating

3.0

Company rating: 3.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Position Overview: We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong data engineering skills and a passion for applying machine learning to real-world healthcare challenges.
Key Responsibilities:
  • Design and implement data pipelines using SQL and Python from various data sources.
  • Synthesize large medical claims data records into useable data features.
  • Collaborate with Data Scientists to build, refine, and deploy various machine learning models in Python.
  • Learn and apply SAS as needed for dataset generation (prior experience is not required).
  • Ensure data quality, reproducibility, and performance in the pipelines.
  • Contribute to best practices for data governance and model deployment.

Qualifications:
  • 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on engineering data builds.
  • Proficiency in SQL/Snowflake and Python; willingness to learn SAS as needed.
  • Experience building and combining data pipelines and working with large datasets.
  • Basic understanding of healthcare claims data (e.g., Medicare claims) preferred.
  • Familiarity with machine learning workflows (e.g., scikit-learn, pandas, NumPy).
  • Strong problem-solving and communication skills, sharp critical thinking skills.
  • Comfortable with a fast-paced workstream that requires flexibility to work on multiple projects or analyses at the same time.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Upperline Health employees say

Hours and flexibility

Workplace

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