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Entrylevel Machine Learning Engineer Jobs in Franklin, TN

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 ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AI and Data Science Engineer II

Nashville, TN · On-site

$110K - $132K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model deployment. * Excellent communication skills and the ...

AI/ML Architect

Nashville, TN

$61.50 - $79.25/hr

Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model deployment. * Excellent communication skills and the ...

Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments * Participating in prompt engineering, retrieval ...

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Entrylevel Machine Learning Engineer information

See Franklin, TN salary details

$31.1K

$127.2K

$191.1K

How much do entrylevel machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for entrylevel machine learning engineer in Franklin, TN is $127,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,100.00 per year, depending on experience, location, and employer.

Can I get into AI with no experience?

Entry-level machine learning engineer roles typically require some background in programming, mathematics, and data analysis, but many employers are open to candidates with foundational skills and a willingness to learn. Gaining experience through online courses, projects, and certifications in tools like Python and machine learning frameworks can help you qualify for such positions. Building a portfolio and understanding core concepts can improve your chances of entering the AI field without prior professional experience.

What engineers make $500,000?

Highly experienced senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with bonuses, stock options, or in high-cost-of-living areas. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or specialized expertise in high-demand technologies.

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

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

Can I learn ML in 3 months?

As an entry-level machine learning engineer, gaining foundational knowledge in ML within three months is possible with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, developing deep expertise and practical experience typically requires longer, ongoing learning and project work.

Which 5 jobs will survive AI?

For entry-level machine learning engineers, roles that require complex problem-solving, creativity, and human judgment—such as data science, AI ethics, research scientist, AI product management, and specialized software development—are likely to persist despite AI advancements. These positions often involve designing, overseeing, and interpreting AI systems, which require deep domain knowledge and critical thinking that AI tools currently cannot fully replicate.
What cities near Franklin, TN are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Franklin, TN with the most Entrylevel Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Upperline Health

Nashville, TN • On-site

Full-time

Posted 27 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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