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Ml Infrastructure Engineer Jobs in Ohio (NOW HIRING)

GRVTY

DevSecOps Engineer

Dayton, OH · Hybrid

Join GRVTY's mission-focused team as a DevSecOps Engineer, where you'll have the opportunity to ... Background in AI/ML infrastructure support or data pipeline optimization. This posting is for a ...

GRVTY

DevSecOps Engineer

Dayton, OH · On-site

They are seeking a DevSecOps Engineer to enable secure and automated deployment of advanced data ... in AI/ML infrastructure support or data pipeline optimization. Company : GRVTY is a defense ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

ML Engineering role focused on building AI solutions and integrating them into the existing ... Experience with cloud infrastructure (must-have). * Ability to deploy applications in both Public ...

Path Robotics

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

You'll work closely with our research teams and our data platform team - leveraging their data and ML infrastructure expertise - while focusing on creating a robust, scalable, and developer-friendly ...

Path Robotics

Senior Software Engineer

Columbus, OH · On-site

$114K - $150K/yr

You'll work closely with our research teams and our data platform team - leveraging their data and ML infrastructure expertise - while focusing on creating a robust, scalable, and developer-friendly ...

Path Robotics

Senior Software Engineer

Columbus, OH

$118K - $156K/yr

You'll work closely with our research teams and our data platform team - leveraging their data and ML infrastructure expertise - while focusing on creating a robust, scalable, and developer-friendly ...

Worldpay

ML Software Engineering Lead

Cincinnati, OH · On-site

$98K - $129K/yr

Partner closely with research-focused data science teams, business stakeholders, infrastructure ... ML software engineering, ML ops, ML engineering, or ML research experience. * 5+ years of ...

GRVTY

DevSecOps Engineer

Dayton, OH

Join GRVTY's mission-focused team as a DevSecOps Engineer, where you'll have the opportunity to ... Background in AI/ML infrastructure support or data pipeline optimization. This posting is for a ...

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Showing results 21-40

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Ohio

Ml Infrastructure Engineer information

See Ohio salary details

$44.2K

$120.8K

$173K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ml infrastructure engineer in Ohio is $120,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $134,000.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Ohio?

For Ml Infrastructure Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Ohio look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Ohio are:

What cities in Ohio are hiring for Ml Infrastructure Engineer jobs?

Cities in Ohio with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $120,801 per year, or $58.1 per hour.

Machine Learning Engineer

Apex Informatics

Cincinnati, OH • On-site

Full-time

Re-posted 7 days ago

Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.

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