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Machine Learning Specialist Jobs in Virginia (NOW HIRING)

Skyline Scientific Inc

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

Work directly with scientists, sensor experts, machine learning specialists, and customers without excessive bureaucracy. * Industry-Leading Benefits: 15% employer 401(k) contribution with no ...

ICF

Senior Climate Analytics Specialist

Arlington, VA

$100K - $123K/yr

Senior Climate Analytics Specialist Preferred Locations: Salt Lake City, UT | New York City, NY ... Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and ...

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All JobsMachine Learning Specialist JobsMachine Learning Specialist Jobs in Virginia

Machine Learning Specialist information

See Virginia salary details

$20.3K

$53.5K

$96.2K

How much do machine learning specialist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning specialist in Virginia is $53,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,700.00 and $60,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Specialist position, and why are they important?

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What is a Machine Learning Specialist job?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

What is a machine learning specialist?

A machine learning specialist is a professional who designs, develops, and implements algorithms that enable computers to learn from data and improve their performance over time. They often work with programming languages like Python or R, utilize machine learning frameworks such as TensorFlow or scikit-learn, and have strong skills in statistics and data analysis. This role typically requires a background in computer science, mathematics, or related fields, and may involve tasks like model training, evaluation, and deployment in various applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. These roles usually involve leadership, strategic planning, and significant experience in the field, and they may be found in large tech companies or specialized AI firms.

What are some common challenges a Machine Learning Specialist might face in this role?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.

What engineer makes $500,000 a year?

Senior machine learning specialists or AI engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at leading tech companies can earn salaries around $500,000 annually. Such roles typically require advanced degrees, specialized certifications, and a strong track record of successful projects.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding complex algorithms, data preprocessing, and model optimization. While AI automation tools can assist with certain tasks, MLEs are essential for creating, maintaining, and improving AI systems, making complete replacement unlikely in the near term.
What are popular job titles related to Machine Learning Specialist jobs in Virginia? For Machine Learning Specialist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Specialist jobs in Virginia look for? The top searched job categories for Machine Learning Specialist jobs in Virginia are:
Machine Learning Specialist jobs near you
Infographic showing various Machine Learning Specialist job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $53,463 per year, or $25.7 per hour.
AI / Machine Learning Specialist

AI / Machine Learning Specialist

RIVIDIUM

Alexandria, VA • Hybrid

Full-time

Posted 28 days ago

Job description

RiVidium is seeking an AI / Machine Learning Specialist to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps deliver mission-focused outcomes for service members, families, and related stakeholders. Implements PWS C.5.3.13 Innovation initiatives; develops AI/ML models, integrates automation pipelines, and ensures secure deployment in DoD environments. This position is contingent upon contract award.

Key Responsibilities

  • Support design, development, or integration of AI and machine learning capabilities aligned to mission needs.
  • Build or refine models, workflows, and supporting data processes in secure environments.
  • Coordinate with data, engineering, and stakeholder teams to translate use cases into practical solutions.
  • Help ensure AI/ML solutions are measurable, supportable, and responsibly deployed.

Basic Qualifications

  • Bachelor?s degree in a relevant discipline or equivalent professional experience.
  • Relevant experience aligned to the role and labor category; openings may be filled at Mid (5-8 yrs), Senior (10-15 yrs).
  • Ability to satisfy applicable Government personnel security requirements for the assigned role. For IT and cybersecurity workforce positions, applicable DoD 8140 training and certification requirements will apply upon award.
  • Strong communication, teamwork, and documentation skills in a mission-focused delivery environment.

Preferred Qualifications

  • Experience with data pipelines, dashboards, visualization tools, analytics, or reporting automation, as applicable to the role.
  • Ability to translate operational data into actionable insights for technical and non-technical stakeholders.
  • Experience with data quality, governance, and performance metrics in enterprise environments.

Work Setting

This role is expected to support work in the Alexandria, Virginia area, with on-site support at the DoD Mark Center or other customer-approved locations as required. Hybrid support in the Alexandria, Virginia area is expected, with on-site support as required by the customer.

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