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Temporary Machine Learning Engineer Jobs in Ohio

As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining ... The ideal candidate will have a strong background in AI, machine learning and data science, with ...

Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI ...

New

AI Solutions Architect

Cincinnati, OH

$60.50 - $79.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

AI Solutions Architect

Cleveland, OH · On-site

$61 - $80.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

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Temporary Machine Learning Engineer information

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What are the most commonly searched types of Machine Learning Engineer jobs in Ohio? The most popular types of Machine Learning Engineer jobs in Ohio are:
What are popular job titles related to Temporary Machine Learning Engineer jobs in Ohio? For Temporary Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Temporary Machine Learning Engineer jobs? Cities in Ohio with the most Temporary Machine Learning Engineer job openings:
Infographic showing various Temporary Machine Learning Engineer job openings in Ohio as of July 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 91% In-person, and 9% Remote job distribution.
Machine Learning Co-Op (Fall 2026)

Machine Learning Co-Op (Fall 2026)

Hendrickson

Canton, OH • On-site

Full-time

Re-posted yesterday


Hendrickson rating

7.1

Company rating: 7.1 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

291st of 427 rated machine equipment manufacturers


Job description

Job Summary:
Hendrickson is seeking a Machine Learning Co-Op for Fall 2026. The role involves partnering with stakeholders to define problems and deliver datasets, analyses, and ML prototypes while maintaining data quality and documentation standards.
Responsibilities:
• Partner with stakeholders to define problems, requirements, and success metrics (KPIs).
• Deliver reliable datasets, analyses, dashboards, and ML prototypes that address those needs.
• Communicate progress, risks, and results clearly to technical and non-technical audiences.
• Maintain data quality, documentation, and reproducibility standards.
• Run discovery (interviews, process mapping) and translate findings into clear requirements.
• Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
• Prototype and evaluate predictive/time-series models; document methods and results.
• Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.
• Perform other duties as assigned.
Qualifications:
Required:
• Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
• Strong communicator and facilitator; comfortable writing clear docs.
• Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.
• Organized, curious, and able to manage multiple projects and deadlines.
Preferred:
• Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
• Familiarity with version control (Git/GitHub) and basic cloud data tools.
Company:
Hendrickson is a designer and manufacturer of suspension systems and components for heavy-duty trucks. Founded in 1913, the company is headquartered in Itasca, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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