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Artificial Intelligence Machine Learning Physics Jobs in Chantilly, VA

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Artificial Intelligence Machine Learning Physics information

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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for artificial intelligence machine learning physics in Chantilly, VA is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $26.11 per hour, depending on experience, location, and employer.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Chantilly, VA look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities near Chantilly, VA with the most Artificial Intelligence Machine Learning Physics job openings:

Infographic showing various Artificial Intelligence Machine Learning Physics job openings in Chantilly, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,724 per year, or $20.5 per hour.

Artificial Intelligence & Machine Learning Engineer

Booz Allen Hamilton

Arlington, VA • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Re-posted 15 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Artificial Intelligence & Machine Learning Engineer

The Opportunity:

As an experienced AI/ML engineer, you know that modern machine learning requires more than accurate models, it demands strong engineering practices, thoughtful system design, and the ability to build solutions that perform reliably in production. Your ability to conduct statistical analyses, implement AI/ML techniques, and build robust AI/ML pipelines makes you integral to delivering customer‑focused solutions. We need your technical expertise and problem‑solving mindset to support AI/ML missions across the federal government. As an AI/ML engineer on our team, you’ll design, train, test, deploy, and maintain end‑to‑end AI/ML systems, ensuring models perform reliably not just in development, but in production.

In this role, you’ll own and define the direction of mission‑critical solutions by selecting best‑fit algorithms, architecting AI/ML pipelines, and applying modern MLOps practices. You’ll be part of a talented team of machine learning engineers across the company and collaborate with data engineers, data scientists, software engineers, and product owners to deliver world‑class solutions. Your skills and technical leadership will guide clients as they navigate the landscape of AI/ML tools, frameworks, and operational strategies.

Work with us to solve real‑world challenges and define AI/ML strategy for the Defense sector and beyond.

Join us. The world can’t wait.

You Have
  • 4+ years of experience as an Artificial Intelligence/Machine Learning Engineer or Advanced Data Scientist
  • Experience deploying and integrating production‑grade AI/ML models using tools such as Docker or Kubernetes
  • Experience with Large Language Models (LLMs), Deep Learning (DL) or Reinforcement Learning (RL) algorithms, along with frameworks such as TensorFlow, PyTorch, vLLM, and Ollama
  • Knowledge of MLOps principles and the design and implementation of machine learning algorithms integrated in operational systems and deployed to production environments
  • Ability to train, optimize, and integrate AI/ML algorithms across high throughput text, image, or video data feeds
  • Secret clearance
  • Bachelor's degree
Nice If You Have
  • Experience working in cloud environments, such as AWS or Azure
  • Experience developing production‑quality ML‑enabled software components, such as RESTful APIs, microservices, or real‑time inference pipelines
  • Experience with emerging agentic AI frameworks and understanding of how to integrate agent‑based systems into production environments
  • TS/SCI clearance
  • Master's degree
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation and Benefits

Salary range: $77,600.00 to $176,000.00 (annualized USD).

Benefits include health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

EEO Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914