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Learning Ai Jobs in Virginia (NOW HIRING)

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site

$160K - $200K/yr

... Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple programs. You ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Key Responsibilities Design and implement agentic AI systems capable of planning, tool use, memory ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site

$160K - $200K/yr

... Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple programs. You ...

SAIC

AI SETA Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple ...

Dev Technology

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

This is an excellent opportunity for those seeking professional experience in data science, artificial intelligence, machine learning, AI integration, and product development. What You'll Be Doing ...

Tetra Tech

AI/ML SME

Alexandria, VA · On-site

... Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Define and evaluate AI, ML, data system, and software requirements for technical feasibility ...

Halvik

AI/ML SME

Alexandria, VA · On-site

... Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Define and evaluate AI, ML, data system, and software requirements for technical feasibility ...

Halvik

AI/ML SME

Alexandria, VA · On-site

$150K - $175K/yr

... Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Define and evaluate AI, ML, data system, and software requirements for technical feasibility ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Alexandria, VA · Hybrid

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decisionmaking ...

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Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

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

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

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

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

What cities in Virginia are hiring for Learning Ai jobs?

Cities in Virginia with the most Learning Ai job openings:

Learning Ai jobs near you

AI Machine Learning Developer Principal

Arlington, VA • On-site

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Other

Posted 7 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Job ID: 2616563-OTHLOC-237
Location: Arlington, VA, US
Date Posted: 2026-09-04
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID
Description
We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.
This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or NOVA. Candidates must have an active TS/SCI clearance.
1. Rapid PoC & Demo Prototyping (40%)
  • Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
  • Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)
  • Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
  • Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)
  • Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
  • Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)
  • Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master's degree with 7 years of relevant experience.
  • Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
  • Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
  • Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications:
  • Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
  • Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
  • Familiarity with IC missions.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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