Technology Grand Island, NE Pop. 53,131

Machine Learning Engineer Salary in Grand Island, Nebraska

The median machine learning engineer salary in Grand Island, NE is $109,060 per year, which is 18% below the national median and 6.8% below the Nebraska state average.

City Median
$109,060
vs State Avg
$-7,980
vs National
$-23,940
Cost of Living
84%

Machine Learning Engineer Pay in Grand Island: What to Expect (2026)

Grand Island offers a median machine learning engineer salary of $109,060, which is $7,980 below the Nebraska state average of $117,040. Compared to the national median of $133,000, Grand Island pays below the national benchmark for this role.

One of Grand Island's biggest advantages is its low cost of living at 84% of the national average. This means the $109,060 salary stretches further here — equivalent to roughly $129,833 in an average-cost city. This makes Grand Island an attractive option for machine learning engineers seeking strong real-dollar compensation.

The salary range for machine learning engineers in Grand Island spans from $67,240 at the 10th percentile to $168,100 at the 90th percentile — a $100,860 spread. Entry-level professionals start around $72,160, while senior machine learning engineers with 8+ years of experience can earn up to $157,440. Grand Island is a smaller market (pop. 53,131), which may mean fewer openings but also less competition for available positions.

Machine Learning Engineer Salary in Grand Island by Experience

In Grand Island, an entry-level machine learning engineer earns around $72,160, while experienced professionals earn up to $157,440 per year. The local cost of living index is 84% of the national average.

Entry Level (0-2 yrs)
$72,160
$-15,840 vs national
Mid Level (3-7 yrs)
$110,700
$-24,300 vs national
Senior Level (8+ yrs)
$157,440
$-34,560 vs national

Salary Percentiles in Grand Island, NE

Percentile Grand Island
10th Percentile $67,240
25th Percentile $88,560
Median (50th) $109,060
75th Percentile $137,760
90th Percentile $168,100

Machine Learning Engineer Salary in Other Nebraska Cities

How to Become a Machine Learning Engineer in Grand Island

Education

Most machine learning engineer positions require a master's degree. Grand Island and the surrounding Nebraska area have institutions offering relevant programs.

Key Skills

PythonTensorFlow/PyTorchMLOpsStatisticsDeep LearningData Engineering

Job Outlook

Nationally, machine learning engineer employment is projected to grow 40% over the next decade (much faster than average). Demand in Grand Island may vary based on local industry and population growth.

Find Machine Learning Engineer Jobs in Grand Island

Browse open machine learning engineer positions in Grand Island, NE:

Frequently Asked Questions: Machine Learning Engineer Salary in Grand Island

How much does a Machine Learning Engineer make in Grand Island, NE? ▼
The median machine learning engineer salary in Grand Island, Nebraska is $109,060 per year, which is 18% below the national median of $133,000. Salaries range from $67,240 (10th percentile) to $168,100 (90th percentile).
How much does a Machine Learning Engineer make per hour in Grand Island? ▼
Based on the median annual salary of $109,060, a machine learning engineer in Grand Island earns approximately $52 per hour assuming a standard 2,080-hour work year.
How does Grand Island compare to the Nebraska state average for machine learning engineer pay? ▼
Grand Island's median machine learning engineer salary of $109,060 is 6.8% below the Nebraska state average of $117,040. The local cost of living index is 84% of the national average.
What is the cost of living in Grand Island, NE? ▼
Grand Island has a cost of living index of 84% compared to the national average. This means a machine learning engineer salary of $109,060 in Grand Island has more purchasing power than the same salary in an average-cost city.
What qualifications do I need to become a machine learning engineer in Grand Island? ▼
Most machine learning engineer positions in Grand Island require a master's degree. Key skills include Python, TensorFlow/PyTorch, MLOps, Statistics. The job market is projected to grow 40% nationally over the next decade.