Systems Architecture & Definition Engineer - (Senior) SEIT SapphireCompany:The Boeing CompanyThe Boeing Defense, Space & Security (BDS)... ...to apply for a position at Boeing is via our Careers website. Learn how to pro…
Engineering & IT · Oklahoma City, OK
Machine Learning Engineer jobs in Oklahoma City, OK
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
47
Open roles today
$38–$99/hr
Typical pay range
$131k
Median, full-time
7
Fresh in this list
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Open machine learning engineer roles
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Reference: 85347-3701685-D Systems, a KRATOS Company, is seeking a highly motivated candidate who will provide full lifecycle systems engineering technical contribution and leadership in support of unmanned aircraft prog…
$128.35k - $173.65k
Structural Analysis Engineering ManagerCompany:The Boeing CompanyBoeing Defense, Space & Security (BDS) Mobility, Surveillance & Bombers (... ...to apply for a position at Boeing is via our Careers website. Learn how to…
$107.9k - $195.05k
are looking for a Senior / Lead Substation Protection & Controls Engineer to join our team. As a Lead Substation Protection & Controls... ...within the Top 10 T&D Firms, and Top 10 Power Firms. To explore and learn more,…
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. In the role of Electrical Engineer - Power Generati…
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... ...to lead change, drive progress, and leave a lasting legacy.HDR Engineering is loo…
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining…
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…
$70k - $80k
Description Overview AtkinsRéalis is seeking a Construction Field Engineer to join our Construction Management Team. This is an entry-... ...Math skills to perform simple calculations; willingness to learn. Proficiency i…
$25 - $31 per hour
Description Overview AtkinsRéalis is seeking a Construction Field Engineering Intern to join our Oklahoma City, OK office. Your Role... ...Math skills to perform simple calculations; willingness to learn. Proficiency in…
$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…
$35 - $50 per hour
FIELD SERVICE ENGINEER Seeking a Field Service Engineer who thrives in fast-paced industrial environments and is comfortable traveling... .... MUST HAVE EXPERIENCE WORKING ON DRYERS, BLENDERS, EXTRUSION MACHINES, AND CON…
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What machine learning engineers earn in Oklahoma City
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$53 | $80k–$111k |
| Mid level | $53–$73 | $111k–$151k |
| Senior | $71–$99 | $147k–$205k |
Adjusted for the Oklahoma City 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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