Maintenance Engineer - 2nd Shift Embassy Suites Hotel is currently seeking an experienced 2nd Shift Maintenance Engineer to join our... ...equipment repairs * Perform preventative maintenance on: * Ice machines * Refrige…
Engineering & IT · Jacksonville, FL
Machine Learning Engineer jobs in Jacksonville, FL
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
84
Open roles today
$41–$104/hr
Typical pay range
$139k
Median, full-time
7
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01
Open machine learning engineer roles
12 shown of 84 · sorted by freshness
$35 - $38 per hour
Internal Our MedTech Field Service Engineer experiences a unique opportunity employ their technical experience by collaborating... ...expand into new opportunities while earning supplemental income and learning the medic…
$43 - $48 per hour
Position Title: ISE II- St Augustine, FL Salary: $43.00- $48.00/hr Other Forms of Compensation: Join Intelas, a Compass Healthcare company. Intelas, a Compass Healthcare company, delivers smarter asset management by blen…
Job Title: Rotating Engineer – Onshore Reliability Experience: Minimum 12 Years Qualification: Bachelor’s Degree in Mechanical Engineering Industry: Oil & Gas / Refinery (Onshore) Job Description: The Rotating Engineer –…
Job Title: Rotating Engineer – Offshore Reliability Experience: Minimum 12 Years Qualification: Bachelor’s Degree in Mechanical Engineering Industry: Oil & Gas / Refinery (Offshore) Job Description: The Rotating Engineer…
$90 per hour
Job Summary We are seeking a senior-level Data Engineer for an opportunity supporting enterprise People Data, HR analytics, and modern... ...the E-Verify program in certain locations as required by law. Learn more about…
Kforce has a client in Jacksonville, FL that is seeking a Data Engineer. Summary: We are seeking a Data Engineer to design, develop, and maintain modern data solutions that support enterprise reporting, analytics, and op…
$80k - $120k
Professional Engineer Location: Jacksonville, FL 32256 Country: United States Salary: $80000-$120000 Start Date: Description: Company Description Founded in 2007 and headquartered in Jacksonville, Florida, we are a minor…
care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been describ…
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…
Job Description Job Description PYTHON DEVELOPER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Python Developer! This is starting out as a 12 month contract position with potential to extend long…
$74k - $95k
Because of their continued growth, a General Contractor in the South Seattle (Tacoma) Area is seeking an Field Engineer - Commercial Construction Ground-up to join their team. As a leader in the building industry, my cli…
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What machine learning engineers earn in Jacksonville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $85k–$118k |
| Mid level | $57–$77 | $118k–$160k |
| Senior | $75–$104 | $155k–$216k |
Adjusted for the Jacksonville market from national ranges.
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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
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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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