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Machine Learning Engineer Jobs in Nashville, TN (NOW HIRING)

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment! TailorCare is on a mission to ...

New

Senior Machine Learning Engineer

Nashville, TN ยท On-site

$100K - $138K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem ...

Senior Machine Learning Engineer

Nashville, TN ยท On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Franklin, TN ยท Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

We're looking for a Machine Learning Engineer to own the intelligence layer of our platform. You'll work across structured and unstructured data to drive automation, predict bottlenecks, and help ...

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Showing results 1-20

Machine Learning Engineer information

See Nashville, TN salary details

$30.4K

$124.4K

$186.9K

How much do machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer in Nashville, TN is $124,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Nashville, TN? The most popular types of Machine Learning Engineer jobs in Nashville, TN are:
What are popular job titles related to Machine Learning Engineer jobs in Nashville, TN? For Machine Learning Engineer jobs in Nashville, TN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Nashville, TN look for? The top searched job categories for Machine Learning Engineer jobs in Nashville, TN are:
What cities near Nashville, TN are hiring for Machine Learning Engineer jobs? Cities near Nashville, TN with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Nashville, TN as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $124,377 per year, or $59.8 per hour.

Machine Learning Engineer

Stackruit Ltd.

Nashville, TN โ€ข On-site

Other

Medical, Retirement, PTO

Posted 2 days ago

New


Job description

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment!

TailorCare is on a mission to transform specialty care for joint, back, and muscle conditions. We use data science to create personalized treatment plans for each patient.

Our Ideal Candidate:
  • Bachelorโ€™s in CS, engineering, or similar (3+ years of experience preferred).
  • Experience as an ML engineer, data scientist, or data engineer (3+ years a plus).
  • Python or Scala pro with machine learning skills (scikit-learn, PyTorch, etc.) (2+ years).
  • Familiarity with DNNs, LLMs, and data pipelines is a plus.
  • A scientific approach, engineering mindset, and focus on building simple solutions.
Bonus Points for:
  • Experience with healthcare data and Databricks.
  • CI/CD process knowledge (GitHub).
What Youโ€™ll Do:
  • Design, build, and deploy machine learning models to improve patient care.
  • Collaborate with cross-functional teams to understand needs and develop solutions.
  • Automate workflows using Databricks and GitHub to ensure model performance.
  • Stay up-to-date on the latest MLOps best practices.
Why TailorCare?
  • Make a real impact on peopleโ€™s lives.
  • Work from anywhere in the US (remote-first with a Nashville office option).
  • Competitive benefits package with PTO, health insurance, 401k match, and more.
  • Supportive and inclusive work environment that prioritizes work-life balance.
Ready to use your ML skills to change lives? Apply today!

We are an equal opportunity employer and value diversity at our company.

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