Service Reliability Engineer - Nashville, 37203, United States of America As a key member of our Global Technical Operations team, you will be responsible for the reliability, scalability, and performance of the critical…
Engineering & IT · Nashville, TN
Machine Learning Engineer jobs in Nashville, TN
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
96
Open roles today
$43–$111/hr
Typical pay range
$148k
Median, full-time
6
Fresh in this list
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01
Open machine learning engineer roles
12 shown of 96 · sorted by freshness
$58 per hour
Data Engineer Location: Brentwood, TN (Hybrid) Position Type: 12-Month Contract Schedule: Full-Time, 40 Hours per Week (Monday-Friday) Pay Rate: $58/hr About the Opportunity We are looking for a Data Engineer to join a g…
$27 - $32 per hour
MedTech is seeking Mechanical Field Service Engineers to support a nationwide medical device... ...hydraulic assemblies on dialysis machines. Complete required rinse, flush, testing... ...outcomes and population health w…
SUMMARY A Room s/Building Maintenance Engineer will perform work to keep machines, mechanical equipment, and hotel structure operational and in good repair... .... ~ PERSONAL DEVELOPMENT: Accept opportunities to learn ne…
industry-leading efficiencies, our best-in-class team leverages methodologies, governance and systems that are unparalleled in the engineering space. Are you looking for an opportunity to join a diverse group of professi…
industry-leading efficiencies, our best-in-class team leverages methodologies, governance and systems that are unparalleled in the engineering space. Are you looking for an opportunity to join a diverse group of professi…
$60k - $75k
annual merit raises, and a 5% salary increase after six months. Learn, advance, and build a career that can take you in multiple... ...like food and beverage. Partner with automation and controls engineers to test, troub…
GARNEY A Field Engineer position is available at Garney . In this position, you will act as the glue that unites the team by translating the information between the office engineers and the team that is making the projec…
$123k - $163k
Salary: $123,000 - 163,000 per year Requirements: ~7+ years of experience in data engineering for DE III role ~3-7+ years of experience in data engineering for DE II role ~ Advanced to expert-level proficiency in SQL, wi…
Maintenance Engineer Our Culture: We are a highly entrepreneurial company limited only by our imagination. Diversity and teamwork... ...Success comes to those who continuously seek opportunities to learn and pass on new…
$45 - $55 per hour
Position Overview We are seeking a highly skilled Field Service Engineer to install, commission, maintain, and troubleshoot industrial material handling and process equipment at customer manufacturing facilities across N…
$75k - $135k
Plant Engineer - Full-Time Location: Tennessee Industry: Manufacturing / Industrial Production Schedule: Full-Time Position Summary... ...plant efficiency, apply today or contact Scott Slater at gpac to learn more about…
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What machine learning engineers earn in Nashville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $43–$60 | $90k–$125k |
| Mid level | $60–$82 | $125k–$170k |
| Senior | $79–$111 | $165k–$230k |
National ranges — pay in Nashville typically tracks these.
03
What employers ask for
The skills these listings keep naming
Python and software engineeringPyTorch or TensorFlowML fundamentals and evaluationModel serving and APIsMLOps (tracking, registries, CI)Docker and KubernetesData pipelines and feature storesLLM fine-tuning and RAG (a plus)Monitoring and drift detection
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through taking a model from prototype to production.
Cover data pipelines, training reproducibility, serving, and monitoring. Emphasize that the model is a small part of the system — that framing is the job.
How do you monitor a model in production?
Discuss input drift, prediction distributions, delayed labels, and business metrics — plus what triggers retraining. Mention that silent degradation is the default failure mode.
How would you reduce inference latency or cost for a large model?
Options include distillation, quantization, batching, caching, and smaller models. Frame it as measuring first, then choosing the cheapest acceptable quality tradeoff.
Tell me about a time a model failed in production. What happened?
A real story about skew, drift, or a data bug — with detection and prevention — is far more convincing than claiming smooth deployments.
How do you evaluate a model beyond accuracy?
Talk about the metric matching the business cost of errors, slicing by segment, and offline-online gaps. Naming a case where accuracy misled is a strong touch.
When would you fine-tune an LLM versus use retrieval or prompting?
Start cheap: prompting, then RAG for knowledge, fine-tuning for behavior and format. Cost and maintenance burden should drive the answer.
How do you make training reproducible?
Version code, data, and config; track experiments; pin environments. This is engineering discipline applied to ML, which is exactly the role.
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Resume tips that move the needle
For machine learning engineers specifically — generic advice costs you here
01
Center bullets on production systems: models served, request volume, latency, and the business metric they moved.
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Show software engineering credentials explicitly — testing, CI, code review — since MLE hiring filters hardest on engineering rigor.
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Name the MLOps tooling you have run (MLflow, SageMaker, Kubeflow, vector databases) as these are common screens.
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Include LLM work with specifics — fine-tuning, RAG, evaluation — if you have it; vague 'GenAI experience' claims read poorly.
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Distinguish your role on shared projects: built the serving layer, owned the pipeline, or trained the model.
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Where this role goes
Typical progression
01
ML Engineer
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Senior ML Engineer
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Staff ML Engineer
04
ML Platform Lead
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