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Vice President Machine Learning Jobs in Kentucky

$180 - $200/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

## Assistant Vice President, DataApplylocations: Remote USAtime type: Full timeposted on: Posted 4 ... In this role, the AVP, Data ensures that Vibrant's analytics infrastructure, machine learning ...

New

$180 - $260/hr

AssistRx, LLC has an opening for the position of VP, Data Engineering (Ref# VPDE77BSV). Work ... Position requires 6 years of experience with data engineering, ML (Machine Learning), Snowflake ...

New

Senior Vice President, Operations

Lexington, KY · On-site

$300 - $350/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... continuous learning, and holds themselves and others to exceptional standards. Our values ... The SVP, Operations is the person who builds that organization -- establishing the nuclear safety ...

New

$180 - $280/hr

E3n provides comprehensive assessments, tools, professional learning, data and insights that help ... The Vice President, Marketing will bring process, pace, and performance to a wide range of ...

New

Vice President, Quality

Lexington, KY · On-site

$180 - $280/hr

The Vice President, Quality leads and advances Gray's national construction quality program ... Alongside Gray's Learning & Development team, develops and implements training programs for team ...

Vice President, Quality

Lexington, KY · On-site

$250 - $350/hr

The Vice President, Quality leads and advances Gray's national construction quality program ... Alongside Gray's Learning & Development team, develops and implements training programs for team ...

New

$127 - $140/hr

... learning and work environment and who can effectively work with students, families, faculty ... The Associate Vice President (AVP) for Progression and Student Success is responsible for leading ...

New

$129 - $231/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

## VP, Emerging TechnologiesApplyremote type: Hybridlocations: Edgewood, Marylandtime type: Full ... Maintains expertise in machine learning, deep learning, generative AI, and related systems.

New

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Learning & Development TrainingThe Regional Vice President plays a crucial role in driving sales strategy and growth for Marmon Utility in Southern and Western market region. This includes developing ...

New

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Learning & Development TrainingThe Regional Vice President plays a crucial role in driving sales strategy and growth for Marmon Utility in Southern and Western market region. This includes developing ...

New

$240 - $420/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

## VP, Marketing Science & AnalyticsApplylocations: Remote USAtime type: Full timeposted on: Posted ... Lead a team of 10+, while fostering a culture of innovation, collaboration, and continuous learning.

New

Xometry is seeking a highly experienced and strategic Vice President, Sales Engineering to lead our ... Machining, 3D Printing, Sheet Metal Fabrication, Injection Molding) * Experience working with ...

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Showing results 1-20

Vice President Machine Learning information

See Kentucky salary details

$30.8K

$99.6K

$157.6K

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

As of Aug 14, 2026, the average yearly pay for vice president machine learning in Kentucky is $99,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $124,200.00 per year, depending on experience, location, and employer.

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 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 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.

Is vice president machine learning a high paying job?

The Vice President of Machine Learning is typically a high-level executive role with a competitive salary that reflects expertise in AI, data science, and leadership. Salaries often range from six to seven figures depending on the industry, company size, and location.

What are the most commonly searched types of Machine Learning jobs in Kentucky?

The most popular types of Machine Learning jobs in Kentucky are:

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

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

Infographic showing various Vice President Machine Learning job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,644 per year, or $47.9 per hour.

Assistant Vice President, Data

Vibrant

On-site

$180 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Job description

## Assistant Vice President, DataApplylocations: Remote USAtime type: Full timeposted on: Posted 4 Days Agojob requisition id: JR100244**Department: Technology Reports to: Chief Technology Officer Travel: ~10%****Salary Range: $180,000 - $200,000****Vibrant Emotional Health’s groundbreaking solutions have delivered high quality services and support, when, where and how people need it for over 50 years. Through our state-of-the-art technology-enabled services, community wellness programs, and advocacy and education work, we are building a society in which emotional wellness can be a reality for everyone.****Position Overview:**The Assistant Vice President, Data is a senior enterprise data leadership role within Vibrant's Data Pillar, responsible for unifying and leading Vibrant's full data capability - spanning analytics and reporting, data science, machine learning, and AI. Reporting directly to the Chief Technology Officer, this leader serves as the single accountable executive for Vibrant's entire data function during an intentional consolidation phase designed to build integrated data maturity before the function expands into two distinct leadership tracks. In this role, the AVP, Data ensures that Vibrant's analytics infrastructure, machine learning programs, AI adoption, and data governance operate as a coherent ecosystem. The AVP partners with program leadership and staff as well as Vibrant's executive team to deliver data products, predictive models, and responsible AI capabilities that directly improve outcomes for people in crisis.**Duties/Responsibilities:*** Define and lead an integrated data strategy spanning analytics & reporting, data science, machine learning, and AI - aligned to Vibrant's goals and program priorities. Serve as Vibrant's senior data executive: advising the CTO, executive leadership, and the Board on data capabilities, AI adoption, and investment priorities.* Build and manage the departmental roadmap, establishing the organizational architecture and roal definitions. Lead Vibrant's data governance council responsibilities, including oversight of data standards, KPI frameworks, and program data sharing requirements.* Own budget planning, tracking, and forecasting for the Data function, ensuring spend aligns with approved FY budgets, funding stream requirements, and grant compliance obligations* Manage the AI use approval pipeline with internal and external leadershipo: preparing documentation, use case justifications, and responsible AI assessments for all AI/ML deployments under the cooperative agreement.* Lead the strategy, architecture, and delivery of Vibrant's enterprise analytics and reporting platform, supporting operational, compliance, and strategic reporting needs across programs and corporate functions.* Ensure delivery of program-required reporting, including automated dashboards for network operational and quality metrics, crisis contact center performance reporting, and federally mandated data submissions.* Design and deliver executive dashboards and performance scorecards for Vibrant's leadership team, Board of Directors, and crisis center network.* Own the data governance framework for reporting outputs: data definitions, lineage documentation, and quality assurance protocols.* Evaluate and implement BI and analytics tooling (e.g., Tableau, Power BI, Looker) to modernize Vibrant's reporting infrastructure.* Lead Vibrant's response to audit and compliance data requests, including federal OIG reviews and GAO inquiries.* Champion data accessibility and health equity analytics across Vibrant's programs, ensuring disaggregated reporting by race, ethnicity, geography, and other equity dimensions.* Oversee development and deployment of machine learning models across use cases including crisis risk stratification, call routing optimization, quality assurance automation, NLP-driven conversation analytics, and population health analytics.* Establish responsible AI governance frameworks, including bias auditing, model explainability, and ethical review protocols appropriate for behavioral health contexts and required by the program.* Partner with the peers to advance the research agenda, maintain scientific standards, and translate research findings into production-ready models.* Evaluate and integrate emerging AI technologies - including large language models and generative AI - with appropriate rigor, human-in-the-loop safeguards, and program approvals for mission-critical applications.* Ensure all AI/ML systems meet regulatory requirements.* Build, develop, and retain a high-performing data organization spanning Analytics & Reporting, Data Science, ML Engineering, MLOps, AI Ethics, Data Quality, and Data Governance functions.* Manage and mentor direct reportsManage the analytics and data science product roadmap in partnership with internal teams, ensuring data investments are sequenced against program stakeholder needs and regulatory requirements.* Represent Vibrant's data and AI capabilities in external partner engagements, grant applications, and public health research contexts.* Other duties as assigned.**Required Skills/Abilities:*** Executive-level experience defining and executing integrated data strategies spanning analytics, business intelligence, data science, and AI within complex, mission-driven organizations.* Deep expertise in enterprise analytics, BI platform architecture, and modern data stack technologies (e.g., dbt, Snowflake, Tableau/Power BI/Looker).* Strong command of data science and machine learning: proficiency in Python-based ML ecosystems (scikit-learn, PyTorch, Hugging Face), end-to-end model lifecycle management, NLP, and responsible AI.* Proven ability to build, scale, and lead high-performing multidisciplinary data teams across analytics, data science, and ML engineering functions.* Demonstrated experience establishing responsible AI frameworks - bias detection, model explainability, and ethical review - in high-stakes, human-centered environments.* Strong understanding of HIPAA, 42 CFR Part 2, federal data governance requirements, and AI compliance in health and human services contexts.* Ability to translate complex data and AI concepts into clear, actionable insights for executive leadership, Board members, federal partners, and non-technical stakeholders.* Experience partnering cross-functionally with Product, Engineering, Legal, and Compliance teams to govern and deploy data and AI capabilities responsibly.* Demonstrated commitment to advancing health equity analytics, inclusive data practices, and mission-aligned AI adoption.**Required Qualifications:*** 12+ years of progressive experience in analytics, data science, or data leadership roles, with at least 5 years in a senior leadership capacity with direct accountability for both analytics and data science or ML functions.* Bachelor's degree in a quantitative field required; Master's degree or higher preferred (Computer Science, Statistics, Data Science, Public Health, or related field).* Demonstrated experience leading programs, teams, or operational units across multiple data disciplines, with accountability for project execution, team performance, and cross-functional delivery.* Deep expertise in BI platforms (Tableau, Power BI, Looker, or equivalent), modern data stack technologies (dbt, Snowflake, BigQuery), and ML/AI frameworks (PyTorch, scikit-learn, Hugging Face, or equivalent).* Proven track record building enterprise data infrastructure and applied AI/ML programs in complex, regulated environments.* Experience in mission-driven, nonprofit, healthcare, government, or other highly regulated environments, with familiarity in compliance-driven reporting and data governance frameworks preferred.* Experience with SAMHSA-funded programs, federal cooperative agreements, or similarly regulated grant environments strongly preferred.**Physical Requirements:*** Must be able to remain in a stationary position at least 50% of the time* Will constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer* Will frequently communicate over video calls with internal and external stakeholdersWe determine base pay through a comprehensive review of skills, experience, education, certifications, geographic location, and other relevant factors. The range listed reflects the compensation parameters for the role and does not represent the full compensation package. A complete overview of compensation and benefits will be provided by the Talent Acquisition team during the hiring process.Full time employees will be eligible for excellent comprehensive benefits, including medical, dental, vision, supplemental income insurance, employer paid disability insurance, employer paid life insurance, pre-tax FSA for medical and dependent care, and 401K available.Studies have shown that women and people of color are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. Vibrant will consider any equivalent combination of knowledge, skills, education and experience to meet minimum qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.Vibrant Emotional Health is an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, creed, color, religion, gender, gender identity, sex, sexual orientation, citizenship status, national origin, marital status, age, physical or mental disability, genetic information, caregiver status or any other category protected by applicable federal, state or local laws.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Vibrant does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page and all communications from the Vibrant recruiting team and/or hiring managers will be from an @vibrant.org email address. #J-18808-Ljbffr