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Machine Learning Manager Jobs in Ohio (NOW HIRING)

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data ...

J.P. Morgan

WFP Machine Learning Scientist

Columbus, OH · On-site +1

... management for prioritization, timing, and delivery. The AI/ML team is tasked with building next ... Design and development of Machine Learning, Artificial Intelligence and Statistical models.

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Machine Learning Manager information

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$48.5K

$77.7K

$112.2K

How much do machine learning manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning manager in Ohio is $77,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $87,900.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of Machine Learning jobs in Ohio are:
What are popular job titles related to Machine Learning Manager jobs in Ohio? For Machine Learning Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Ohio look for? The top searched job categories for Machine Learning Manager jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Manager jobs? Cities in Ohio with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $77,680 per year, or $37.3 per hour.
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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