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Vice President Machine Learning Jobs in Spring, TX

FCCU

Vice President Staff Development

Houston, TX · On-site

We are seeking a visionary and strategic Vice President of Staff Development to lead our ... Minimum of five (5) years of progressive experience in learning and development, training ...

Gallagher

VP of Business Development

Houston, TX · On-site

The Vice President of Business Development acts as a subject m atter expert on client support ... Career development opportunities and ongoing learning * A collaborative, people-first culture with ...

Fluence

VP Systems Engineering

Houston, TX · On-site

$171K - $221K/yr

ABOUT THE POSITION The Vice President, Systems Engineering serves as the executive technical ... Drive field reliability, warranty learning, root cause analysis, and corrective action processes.

Fluence Energy, LLC

VP Systems Engineering

Houston, TX · On-site

$250/hr

ABOUT THE POSITION The Vice President, Systems Engineering serves as the executive technical ... Drive field reliability, warranty learning, root cause analysis, and corrective action processes.

Fluence

VP Systems Engineering

Houston, TX · On-site

$171K - $221K/yr

ABOUT THE POSITION The Vice President, Systems Engineering serves as the executive technical ... Drive field reliability, warranty learning, root cause analysis, and corrective action processes.

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All JobsVice President Machine Learning JobsVice President Machine Learning Jobs in Spring, TX

Vice President Machine Learning information

See Spring, TX salary details

$31.6K

$102.1K

$161.5K

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

As of Sep 9, 2026, the average yearly pay for vice president machine learning in Spring, TX is $102,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $127,300.00 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 Spring, TX?

The most popular types of Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for Vice President Machine Learning jobs?

Cities near Spring, TX with the most Vice President Machine Learning job openings:

Vice President Machine Learning jobs near you
Infographic showing various Vice President Machine Learning job openings in Spring, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $102,095 per year, or $49.1 per hour.

HR LEARNING GENERALIST

Houston, TX

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees
Learn more about Delan Associates, Incexternal

Contractor

Re-posted 11 days ago

Job description

Description:
Typically as an Individual Contributor:

Supports OD&L Manager or VP for LoB / CoB - Assigned to a particular line of business of medium to high complexity (e.g. less stable portfolio, multiple geographies across different regions) OR supports OD&L VP in pan-Business OD&L activities, supporting OD&L processes and leading significant projects.

Has large autonomy in adjusting objectives, policies and plans independently

Total population typically 2,500+

Reports to OD&L Manager or VP. Engages with Business Leaders.


Typically as a Manager:

Supports Learning HR VP for LoB / CoB - Assigned to a particular line of business of medium to high complexity (e.g. less stable portfolio, multiple geographies across different regions). Leads significant projects.

Total population typically 2,500+

Team comprised of individual contributors.

Employment Type: CONTRACTOR

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