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Machine Learning Manager Jobs in Ohio (NOW HIRING)

Machine Learning Operations Engineer

Strongsville, OH · On-site

$64.10K - $86.70K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Senior Machine Learning Test Engineer

New Hampshire, OH · On-site +1

$98.80K - $128.30K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... You will report to an Engineering Manager in Research Enablement. Location: United States, East ...

... management process, from learning how and when a product is sold, what happens when it is received ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

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Showing results 1-20

Machine Learning Manager information

See Ohio salary details

$48.5K

$77.7K

$112.2K

How much do machine learning manager jobs pay per year?

As of May 29, 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.

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.

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 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 cities in Ohio are hiring for Machine Learning Manager jobs? Cities in Ohio with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Ohio as of May 2026, with employment types broken down into 27% Full Time, 70% Part Time, and 3% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $77,680 per year, or $37.3 per hour.

Kepware Administrator (Specialist in Machine Learning)

MDAEdge

Carey, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
MDAEdge is seeking an experienced professional with a strong background in Machine Learning and hands-on expertise in Kepware administration. The ideal candidate will possess deep knowledge of MQTT and AWS and will work directly with customers for system setup and configuration.
Responsibilities:
• Leverage 7+ years of experience in Machine Learning to support development and deployment initiatives.
• Serve as the primary Kepware Administrator, ensuring optimal configuration and performance.
• Integrate and manage data communication using MQTT protocols.
• Utilize AWS services to support system architecture and data flow.
• Travel to customer sites across the U.S. for onsite setup and support (travel will be arranged by the customer).
• Ensure professional communication and coordination with client teams during implementation phases.
Qualifications:
Required:
• 7+ years of experience in Machine Learning
• Hands-on expertise in Kepware administration
• Deep knowledge of MQTT
• Comfortable working directly with customers for system setup and configuration
• Utilize AWS services to support system architecture and data flow
• Ensure professional communication and coordination with client teams during implementation phases
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.