Engineering · United States

Machine Learning Engineer Salary in Nashville, TN$106,123$137,837 in 2026

Few roles have seen more salary movement in the past two years than machine learning engineering. The surge in demand for AI-capable engineers has pushed mid-level salaries in Nashville, TN to $106,123–$137,837, with specialisations in LLMs, computer vision, or recommendation systems commanding premiums at the upper end. The median of $121,980 is a reasonable baseline — but this market moves fast, so benchmark regularly.

Machine Learning Engineer Salary in Nashville — 2026 Overview

Entry Level

$92,705

0–2 years

MEDIAN

Mid-Level

$121,980

3–5 years

Senior

$158,574

6–10 years

ExperienceLowMedianHigh
0–2 years$81,580$92,705$103,830
3–5 years$106,123$121,980$137,837
6–10 years$137,959$158,574$179,189
11+ years$173,090$201,267$229,444

Data reflects base salary for Machine Learning Engineers in Nashville, TN, 2026. Figures exclude bonus, equity, and benefits. Sources: market surveys, job postings, and aggregated offer data.

Why Machine Learning Engineer Salaries Are This Level in Nashville

Nashville's tech market is healthcare-tech heavy — reflecting the city's role as a national healthcare hub. Healthtech and revenue cycle management companies dominate hiring. The market has also attracted remote-friendly companies from higher-cost cities.

Tennessee has no state income tax, which is a meaningful advantage. Nashville housing has risen sharply — a downtown one-bedroom runs $1,500–$2,200/month now — but total cost of living remains well below coastal cities.

Top Nashville employers hiring Machine Learning Engineers

HCA HealthcareDollar GeneralAsurionEventbriteEmmaLoyal HealthSamsara

Machine Learning Engineer Job Market in Nashville: Demand & Hiring Outlook

Nashville has established itself as a credible engineering hub, with a growing cluster of tech companies that compete seriously for Machine Learning Engineers. Salaries sit meaningfully below tier-one markets like San Francisco or London, but so does the cost of living — making the purchasing power of an engineering salary here competitive. Hiring demand has been steady, and Machine Learning Engineers with strong fundamentals rarely stay on the market long.

What Machine Learning Engineers in Nashville Actually Negotiate For

Base salary is only the starting point. The most experienced negotiators in Nashville push for the full package — and the employers who want you badly enough will move on more than just base.

  • Equity
  • Research time
  • GPU compute budget
  • Conference access
  • Publication rights

Many Machine Learning Engineers leave $14,638$30,495 on the table annually by not negotiating these elements. A signing bonus alone can be worth one to two months' salary — and it doesn't affect your base going forward.

Skills That Command the Highest Machine Learning Engineer Salaries in Nashville

Not all Machine Learning Engineers in Nashville earn the same — and the gap between the lower and upper end of the salary range comes down to specific technical and leadership competencies. These are the skills that consistently push offers toward $137,837 and above.

Python
PyTorch/TensorFlow
MLOps
SQL
Statistics
LLM fine-tuning

Is your Machine Learning Engineer offer in Nashville fair?

You now have the market range: $106,123$137,837. The next step is knowing exactly where your specific offer sits — and getting the word-for-word script to negotiate it. SalaryAsk benchmarks your offer against live market data, builds your personalised strategy, and lets you practice the conversation with a virtual hiring manager.

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Frequently Asked Questions

What is the average Machine Learning Engineer salary in Nashville, TN?

The median Machine Learning Engineer salary in Nashville, TN is $121,980 for someone with 3–5 years of experience. Across all experience levels, the range runs from $81,580 for entry-level through to $229,444 for highly experienced or specialised professionals.

Is $106,123$137,837 a good Machine Learning Engineer salary in Nashville?

Yes — for a mid-level Machine Learning Engineer in Nashville, TN, $106,123$137,837 represents the market rate in 2026. If your offer falls significantly below $106,123, it's worth negotiating or understanding why the company is below the market benchmark. Offers above $137,837 typically reflect either a scarce specialisation, a particularly well-funded company, or both.

How much does a Staff ML Engineer / Principal AI Engineer earn in Nashville?

Senior Machine Learning Engineers and people moving into Staff ML Engineer / Principal AI Engineer roles typically earn $137,959$229,444 in Nashville, TN. At the most senior levels, total compensation (including equity and bonuses) often substantially exceeds the base salary shown here.

How do I negotiate a Machine Learning Engineer salary in Nashville?

The first step is anchoring to market data — you now know the range is $106,123$137,837. The second is understanding your specific leverage: your experience, the company's urgency to hire, and what competing offers or alternatives you have. SalaryAsk walks you through all of this, generates a personalised negotiation strategy, and gives you the exact language to use in the conversation.

Does remote work affect Machine Learning Engineer salaries in Nashville, TN?

It depends on the company's policy. Nashville, TN-based companies that allow full remote work sometimes adjust salaries to local market rates if you relocate — but many still pay the Nashville band ($106,123–$137,837) regardless of where you work. If you're negotiating a remote arrangement, it's worth explicitly agreeing on whether the salary is tied to your location or to the role's market rate.

What is the difference between a Machine Learning Engineer and a Staff ML Engineer / Principal AI Engineer in terms of pay?

In Nashville, TN, the jump from mid-level (around $121,980) to Staff ML Engineer / Principal AI Engineer level typically adds 30–50% to base salary, pushing total compensation well above $229,444. The increase isn't just tenure — it reflects expanded scope, ownership of systems, and the ability to operate without close direction. Companies at the Staff ML Engineer / Principal AI Engineer level also tend to be more flexible on equity and signing bonuses.

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From the SalaryAsk blog