Machine Vision EngineerOverviewWe are seeking a detail-oriented Machine Vision Hardware Engineer to support qualification and validation activities across multiple imaging technologies... ...technical aptitude and a desi…
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
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$41–$104/hr
Typical pay range
$139k
Median, full-time
12
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Open machine learning engineer roles
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OverviewJob PurposeIntercontinental Exchange, Inc. (ICE) is a leading operator of global exchanges, clearing houses, data, and listings services. We connect businesses around the world to unique opportunities in markets…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...community, but around the world. HDR is seeking a Senior CEI Project Engineer for…
Job PurposeICE Mortgage Technology is seeking a .NET Software Engineer to support custom development work for a high-profile client. The .NET Software Engineer will develop, maintain, and support applications for the org…
$80.46k - $142.72k
ANA United StatesWork Type: On-siteDate Posted: 2026-08-21Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are more than 34,000…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...resilient communities and quality of life. We bring together planners, engineers,…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...progress, and leave a lasting legacy. HDR is seeking a Coastal Engineer (PE) to j…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...progress, and leave a lasting legacy. HDR is seeking a Senior Coastal Engineer (P…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...community, but around the world. HDR is looking for a Trenchless Engineer to join…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...resilient communities and quality of life. We bring together planners, engineers,…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...centers to modernizing transmission systems, our industry-recognized engineers an…
We are looking for a skilled Software Developer to join our dynamic team in Jacksonville, Florida. In this role, you will design, develop, and maintain software solutions that meet business needs while ensuring high-qual…
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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
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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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