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Vice President Machine Learning Jobs in Ohio (NOW HIRING)

Bread Financial

VP Cloud Platform Engineering

Columbus, OH · On-site

$173K - $224K/yr

The VP partners with executive leaders across engineering, architecture, cybersecurity, operations ... learning. - (10%) Minimum Qualifications * Bachelor's Degree in Computer Science, Engineering ...

Agilent Technologies, Inc.

$104.59 - $139.45/hr

Associate VP, EMEAI (Europe, Middle East, Africa, India) Logistics** is part of Agilent ... intelligence / machine learning, etc is preferred* Experience driving significant process ...

Make A Wish OH KY IN

Vice President Major Gifts

Columbus, OH · On-site

$122K - $165K/yr

Vice President of Major Gifts Reports to: President & CEO Supervisory Responsibilities: Major Gifts ... Demonstrate a commitment to continuous learning and professional growth. * Perform other duties as ...

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Vice President Machine Learning information

See Ohio salary details

$33.8K

$109.1K

$172.6K

How much do vice president machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for vice president machine learning in Ohio is $109,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $135,900.00 per year, depending on experience, location, and employer.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

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 job categories do people searching Vice President Machine Learning jobs in Ohio look for?

The top searched job categories for Vice President Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Vice President Machine Learning jobs?

Cities in Ohio with the most Vice President Machine Learning job openings:

Vice President Machine Learning jobs near you

Vice President of Operations

Leading Furniture Company

Cleveland, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

The Vice President of Operations is a key executive leader responsible for overseeing the day-to-day operations, administration, and financial performance. Reporting directly to the President, the VP of Operations ensures operational excellence across transportation, warehouse, and production teams, with a strong focus on data-driven decision-making, KPI tracking, and continuous improvement. 
 
Essential Duties and Responsibilities:   
  • Operational Leadership: 
    • Lead, manage, and optimize operational activities across all locations.
    • Oversee the transportation and warehouse teams, ensuring operational goals are met or exceeded. 
    • Develop and enforce operational policies, procedures, and best practices that enhance efficiency and consistency. 
    • Ensure compliance with applicable regulatory and safety requirements. 
  • Performance and Financial Management: 
    • Develop, monitor, and report on operational KPIs across the organization. 
    • Partner with the CFO and Finance team to develop operational budgets, control costs, and maximize profitability. 
    • Analyze operational performance trends and implement corrective actions as needed to meet financial targets. 
  • Strategic Planning and Execution: 
    • Collaborate with senior leadership to align operational activities with overall strategic objectives. 
    • Drive initiatives that improve service delivery, operational processes, and client satisfaction. 
    • Identify and implement opportunities for operational innovation and efficiency. 
  • Team Leadership and Development: 
    • Directly manage operational leaders and support their teams. 
    • Develop and retain top operational talent, fostering a culture of accountability, teamwork, and continuous learning. 
    • Set clear expectations, provide regular feedback, and ensure open communication across all levels of the operations team. 
    • Develop communication processes to ensure alignment between teams, promote cross-location collaboration, and support effective decision-making. 
    • Provide coaching and professional development to ensure high performance and leadership growth. 
  • Cross-Functional Collaboration: 
    • Collaborate with other functional leaders to ensure operational support aligns with company goals. 
    • Facilitate cross-functional initiatives to streamline processes and enhance organizational effectiveness. 
  • Client Focus: 
    • Maintain a client-centric mindset in all operational strategies and activities. 
    • Ensure operational practices support client satisfaction. 
  • Risk Management: 
    • Identify, assess, and mitigate operational risks. 
    • Develop and implement business continuity and disaster recovery plans. 
  • Perform other related duties as assigned.  
Benefits and Perks:  
  • Eligible for additional performance-based bonuses. 
  • Comprehensive health insurance (medical, dental, vision), and supplemental insurance plans are available.  
  • 401(k) with company match. 
Qualifications and Requirements:  
  • Bachelor's degree in Business Administration, Management, or a related field; MBA preferred. 
  • Proven experience leading multi-site operations.
  • Strong financial acumen and experience managing operational budgets. 
  • Expertise in KPI development, monitoring, and analysis to drive performance. 
  • Excellent leadership, communication, and organizational skills. 
  • Ability to lead teams through change in a fast-paced, dynamic environment. 
  • Proficiency in the English language (written and verbal) required. 
  • Successful completion of a company background check and drug screen.