reduce carbon and replace cars. Could you be the VIE - Field Engineer we’re looking for? Purpose of the job As an Alstom... ...engineering, procurement, supply chain, installation and T&C. # Learn concepts of Earned Valu…
Engineering & IT · Las Vegas, NV
Machine Learning Engineer jobs in Las Vegas, NV
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
56
Open roles today
$43–$111/hr
Typical pay range
$148k
Median, full-time
5
Fresh in this list
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01
Open machine learning engineer roles
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become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction... ...00 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aeco…
Position Overview: The primary responsibility of the Tower Engineer is to provide general maintenance of the hotel suites property-wide. All duties are to be performed in accordance with departmental and The Venetian Res…
collaborate with a global network of experts – planners, designers, engineers, scientists, consultants, program and construction managers –... ...00 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more…
Qualifications: College or University education in Electrical, Electronic, or Computer disciplines Passion for technology and learning new software and hardware products Hands-on experience with IP Networking, server har…
$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…
maximize value for our shareholders, our team members and our communities. Job Description Provide second level of field engineering support to operational and technical support teams for Company’s Information Systems an…
the tools and autonomy to make an impact. As a Master Field Engineer, you’ll be the expert voice on-site — leading complex... ...with engineers and PMs who trust your expertise. Continuous learning. Access to advanced tr…
Position Overview: The primary responsibility of the Central Plant Engineer is to operate and maintain property machinery, HVAC and mechanical equipment property-wide. All duties are to be performed in accordance with de…
$96k - $192k
social media at @Carrier. About this Role Senior Service Engineering professional with deep knowledge and highly developed technical... ...Dependent Care Spending Account Tuition Assistance To learn more about our benefi…
$43.5k - $87.5k
people who want a career, not just a shift. As an Associate Field Engineer , you are entering the industry on the ground floor with a... .... Ready to Grow: Sharpen your skills through self-directed learning. We expect y…
$119.66k - $122k
Sripadha Inc., a Las Vegas, NV based IT Consulting Services Firm has multiple openings for JOB ID 11335: Data Engineer. Job duties include: Design, develop, and operate high-scale applications focusing on operational exc…
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What machine learning engineers earn in Las Vegas
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 Las Vegas typically tracks these.
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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
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ML Platform Lead
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