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Director Learning Services Jobs in Reston, VA (NOW HIRING)

Mathnasium

Learning Center Assistant Director

Bristow, VA · On-site

$16 - $20/hr

Support the Center Director in administering student assessments and developing student learning ... Provide exceptional customer service by building relationships with families and communicating ...

Mathnasium

Learning Center Assistant Director

Manassas, VA · On-site

$16 - $20/hr

Support the Center Director in administering student assessments and developing student learning ... Provide exceptional customer service by building relationships with families and communicating ...

Mathnasium

Learning Center Assistant Director

Potomac, MD · On-site

$16 - $20/hr

Support the Center Director in administering student assessments and developing student learning ... Provide exceptional customer service by building relationships with families and communicating ...

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Showing results 1-20

All JobsLearning Services JobsDirector Learning Services JobsDirector Learning Services Jobs in Reston, VA

Director Learning Services information

See Reston, VA salary details

$45.3K

$132.7K

$248.6K

How much do director learning services jobs pay per year?

As of Jul 16, 2026, the average yearly pay for director learning services in Reston, VA is $132,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $156,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Learning Services, and why are they important?

To thrive as a Director of Learning Services, you need a background in instructional design, educational leadership, and curriculum development, often supported by an advanced degree in education or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and data analytics platforms is typically required. Exceptional leadership, strategic thinking, and communication skills help drive organizational learning initiatives and foster team collaboration. These competencies are essential for creating effective learning programs that align with organizational goals and support continuous employee development.

What is the difference between Director Learning Services vs Learning and Development Manager?

AspectDirector Learning ServicesLearning and Development Manager
CredentialsBachelor's degree, often advanced certifications in learning or educationBachelor's degree, certifications in training or HR preferred
Work EnvironmentStrategic leadership in educational or corporate settings, overseeing multiple teamsOperational focus, managing training programs and team members
Employer & IndustryEducational institutions, corporations, nonprofitsCorporations, government agencies, nonprofits
Search & Comparison IntentHigh-level strategic roles, organizational leadershipTraining program management, team leadership

The main difference is that the Director Learning Services typically holds a strategic, leadership role overseeing learning initiatives at an organizational level, while the Learning and Development Manager focuses on managing training programs and teams to develop employee skills. Both roles require relevant education and certifications, but the director position involves broader strategic responsibilities.

What does a Director of Learning Services do?

A Director of Learning Services leads the development, implementation, and evaluation of educational programs and learning initiatives within an organization or institution. They oversee teams dedicated to instructional design, training, and professional development, ensuring that learning strategies align with organizational goals. Their responsibilities often include managing budgets, assessing program effectiveness, and fostering an environment of continuous improvement for both staff and learners.

How does a Director of Learning Services typically collaborate with other departments to align training initiatives with organizational goals?

A Director of Learning Services regularly works with leaders from HR, operations, and business units to ensure that learning programs support broader company objectives. This involves conducting needs assessments, participating in strategic planning meetings, and adjusting training content based on feedback from stakeholders. Effective collaboration ensures that learning initiatives are relevant, measurable, and drive performance across teams. Being proactive in communication and relationship-building is essential for success in this role.
What job categories do people searching Director Learning Services jobs in Reston, VA look for? The top searched job categories for Director Learning Services jobs in Reston, VA are:
What cities near Reston, VA are hiring for Director Learning Services jobs? Cities near Reston, VA with the most Director Learning Services job openings:
Director Learning Services jobs near you
Machine Learning Engineer

Machine Learning Engineer

Dark Wolf Solutions

Chantilly, VA

Full-time

Posted 3 days ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms to solve specific business problems.
  • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
  • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
  • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
  • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
  • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
  • Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
  • Troubleshoot and resolve issues related to machine learning models and pipelines.
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
  • Contribute to the development of best practices and standards for machine learning development and deployment within the team.
  • Document machine learning models, experiments, and deployment processes.
  • Potentially work with large datasets and big data technologies.
  • Optimize machine learning models for performance and efficiency.

Qualifications:

  • Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
  • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
  • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
  • Experience with data preprocessing, feature engineering, and data visualization techniques.
  • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
  • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
  • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.

Preferred Skills:

  • Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
  • Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with building and deploying RESTful APIs.
  • Familiarity with big data technologies and distributed computing.
  • Experience with statistical modeling and inference.

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

This position is located in Chantilly/Herndon, VA.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.