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Director Machine Learning Jobs in Virginia (NOW HIRING)

Venturegloballng

Director, AI Engineering

Arlington, VA · On-site

The Director will stand up the platform, hire and lead a team of senior AI engineers and machine learning engineers, and partner closely with Data Engineering, Data Science, and business stakeholders ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ...

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ...

Softility

Sr. Machine Learning Engineer IV

Herndon, VA · On-site

$57.25 - $75.75/hr

Direct the design of complex data transformations and preprocessing frameworks that enable the automation of repeatable actions through models predicting system behavior in altered conditions.

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Virginia

Director Machine Learning information

See Virginia salary details

$35.7K

$91.1K

$139.8K

How much do director machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director machine learning in Virginia is $91,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $105,100.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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

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

What are popular job titles related to Director Machine Learning jobs in Virginia?

For Director Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Virginia look for?

The top searched job categories for Director Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Director Machine Learning jobs?

Cities in Virginia with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,144 per year, or $43.8 per hour.

Artificial Intelligence Machine Learning Solutions Engineer 1

Dale City, VA • On-site

INSPYR Solutions
Internet and IT • 51 - 200 employees
Learn more about INSPYR Solutionsexternal

$100K - $110K/yr

Other

Medical, Retirement

Posted 9 days ago

Job description

Title: Artificial Intelligence Machine Learning Solutions Engineer 1
Location: Charlotte, NC
Duration: Direct Hire
Compensation: $100K-$110K
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
 
Position Background
 
  • The AI / ML Solutions Engineer I is responsible for designing, building, and supporting advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs. This role develops technical capabilities that extend beyond standard data product delivery and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.
 
Duties & Responsibilities
  • Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
  • Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
  • Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
  • Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
  • Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
  • Other duties as assigned
 
Knowledge, Skills, & Abilities
  • Strong experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
  • Proficiency in Python, SQL, and other technical tools used for data science, automation, and model development
  • Experience designing and implementing predictive, classification, recommendation, optimization, or LLM-based solutions
  • Ability to evaluate technical feasibility and translate business problems into scalable technical approaches
  • Understanding of data preparation, feature engineering, model testing, validation, and solution monitoring
  • Experience integrating advanced solutions into business processes, applications, or reporting environments
  • Strong communication skills and ability to collaborate with business partners, Data Solutions Leads, and other technical resources
  • Ability to work through ambiguity and build practical, production-minded solutions
 
Minimum Qualifications
  • Bachelor's degree (4 years)
  • 5 to up to 7 years
Preferred Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred
     
 
 
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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