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 · Cincinnati, OH
Machine Learning Engineer jobs in Cincinnati, OH
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
109
Open roles today
$40–$103/hr
Typical pay range
$137k
Median, full-time
11
Fresh in this list
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Open machine learning engineer roles
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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. In the role of Civil Engineer, we'll cou…
$119k - $178k
Senior Electrical Engineer | Cincinnati, OH100% Employee-Owned | Big-firm resources, local-team relationships, ONE IMEG cultureIMEG is... ...vision, and life insurance on their first day of employment.Want to 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 Highway Engineer, we'll count on you…
$102k - $130k
STRUCTURAL ENGINEERABOUT USMatrix Technologies is a 100% employee-owned engineering, construction, automation, and digital transformation company... ...compensation, and the opportunity to share in our success. Learn mor…
the US, Central and South America as needed. The Field Service Engineer will work on a team or individually, to install, perform preventive... ...and deliver trainings on Colibrium additive manufacturing machines. These…
$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,…
$92.82k - $109.2k
opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.Job DescriptionThe Automation Engineer tests, creates, imple…
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... ...ResponsibilitiesHDR is currently in need of a Water/Wastewater Engineer to work a…
Keep reading. P.E. Labellers is seeking an Electrical Controls Engineer to design, develop, program, and support the electrical control... ...and HMI programming, motion control, industrial networks, and machine safety s…
$90 per hour
job summary: The Data Engineer - Finance Systems & Analytics plays a critical strategic role bridging the gap between Finance and Information Technology. In this position, you will transform complex business data require…
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What machine learning engineers earn in Cincinnati
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $40–$56 | $84k–$116k |
| Mid level | $56–$76 | $116k–$158k |
| Senior | $74–$103 | $153k–$214k |
Adjusted for the Cincinnati 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
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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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