in 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. We believe building engineering is more than system…
Engineering & IT · Orlando, FL
Machine Learning Engineer jobs in Orlando, FL
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
177
Open roles today
$42–$108/hr
Typical pay range
$145k
Median, full-time
12
Fresh in this list
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01
Open machine learning engineer roles
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Job DescriptionDewberry is seeking a Senior Roadway Engineer in our Orlando, FL office to grow and strengthen our transportation design practice. This is an excellent career opportunity to join a nationally recognized mu…
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.In the role of Senior Mechanical Engineer (Pipe S…
$197.6k - $264.9k
operational excellence.Team Description:We are the Finance Engineering & AI team, and we exist to be Finance's technical partner —... ...Disney financial systems. We're hiring a Senior Manager, AI & Machine Learning, as…
Job-ID28861157Reference26-19872Salary$125,000-$135,000 / yearProduct Design Engineer III - Auxiliaries Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a…
difference in 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 Engineering is currently seeking a Me…
This OpportunityWSP is currently initiating a search for a Senior Mechanical Engineer for our Orlando, FL location This role will actively participate in the full project cycle with a focus on complex sector work such as…
in 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. We believe building engineering is more than system…
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... ...centers to modernizing transmission systems, our industry-recognized engineers an…
Dewberry, we are committed to delivering excellence—through our people, our projects, and our purpose. We’re looking for a Senior Civil Engineer to join our Orlando, Florida office. You will be part of a strong and colla…
organization that meets our client’s objectives and solves their challenges. WSP is currently initiating a search for a Senior Project Engineer in Central Florida. This role can sit out of the Altamonte Springs, Orlando,…
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What machine learning engineers earn in Orlando
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $42–$59 | $88k–$122k |
| Mid level | $59–$80 | $122k–$167k |
| Senior | $78–$108 | $162k–$225k |
Adjusted for the Orlando 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
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
02
Senior ML Engineer
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Staff ML Engineer
04
ML Platform Lead
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