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Remote Machine Learning Jobs in Tennessee (NOW HIRING)

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Contribute to predictive modeling and machine learning efforts under the guidance of senior team ...

$55K - $100K/yr

... machines. We bridge the gap between brands and revenue by turning our clients' customers into ... learning platform, Rippling, Salesforce, Vonage, Google Workspace, and Slack, ensuring you're ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Remote-USA Revecoreis embarking on re-architecting and modernizing its core platform. The Data ... data and machine learning across our products and business functions. TheData Operations ...

Experience with machine learning and AI Formal Education, Qualifications or Training * Bachelor ... Remote Why Choose Us? A career with the Rentokil family of companies can be a professional ...

Sr Data Analyst, Marketing

Memphis, TN · Remote

$94K - $122K/yr

Experience with machine learning and AI Formal Education, Qualifications or Training * Bachelor ... Remote Why Choose Us? A career with the Rentokil family of companies can be a professional ...

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Its platform supports a broad range of healthcare applications, including machine learning, medical devices, clinical research, and healthcare innovation. About the Data Platform The company's data ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality's Data and Analytics systems and Machine Learning ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Showing results 1-20

Remote Machine Learning information

See Tennessee salary details

$23.1K

$38.6K

$79.9K

How much do remote machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning in Tennessee is $38,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
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 Remote Machine Learning jobs? Cities in Tennessee with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $38,650 per year, or $18.6 per hour.
Data Science Analyst - Remote

Data Science Analyst - Remote

Premise Health

Brentwood, TN • On-site, Remote

$75K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

86th of 880 rated healthcare providers


Job description

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
As an Analyst on our Data Science team, you'll be an integral part of an innovative group building the analytical foundation behind Premise Health's approach to Population Health; work that continues to scale across the enterprise. In this highly visible, entrepreneurial role, you'll work cross-functionally with stakeholders, partnering with sales, growth, operations, clinical, finance, and more, as well as with strategic vendor partners you'll help manage.
You'll work alongside leaders across the organization with two core aims: 1) developing better ways for our clinical and operational teams to track and report on the performance of Premise's products, and 2) turning large, complex healthcare datasets into insights that identify opportunities to lower cost and improve quality of care, then translating those findings into action that empowers clinical teams and drives greater impact for our member populations. Along the way, you'll produce the analyses and presentations that support conversations with internal and external stakeholders, propose better ways to approach problems, and contribute to a team that's always raising its own bar.
This is a Full Time, remote, Data Science Analyst role.
What You'll Do
Data Analysis & Manipulation:
  • Perform exploratory data analysis to identify patterns and opportunities in healthcare data
  • Document methodology, assumptions, and results to ensure analyses are reproducible and defensible
  • Design and maintain reporting datasets that support recurring reporting and predictive modeling
  • Write clean, well-structured, and documented code in Python, PySpark, and SQL
  • Use Git for version control and follow structured development practices

Visualization & Reporting:
  • Design and build reports and dashboards using data visualization tools (Power BI preferred)
  • Build presentation-ready decks and visuals that frame data as a clear narrative for technical and non-technical audiences
  • Use Python to manipulate, clean, and analyze large datasets

Storytelling & collaboration:
  • Partner with stakeholders to scope projects, align on goals, and manage expectations
  • Communicate findings and methodologies clearly to technical and non-technical audiences
  • Contribute to predictive modeling and machine learning efforts under the guidance of senior team members

What You'll Bring
  • Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field
  • 3+ years of experience in a BI or analytics role focused on manipulating data and presenting it to stakeholders
  • Strong SQL skills for querying and manipulating large datasets
  • Strong data visualization skills, including building dashboards and reports in Power BI
  • Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
  • Healthcare data experience preferred
  • Understanding of statistical methods, predictive modeling, and AI/ML algorithms
  • Strong communication and presentation skills, with the ability to present to and manage stakeholders and clients
  • Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
  • Familiarity with Python, SQL, and Git (version control)
  • Experience with the following is a plus: Cloud Azure Databricks, Version Control: GitLab, IDE: VS Code

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits .
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 04/02/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com .

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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975