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Ml Engineer Jobs in Virginia (NOW HIRING)

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is an innovative solutions development company that combines agile development services with next ...

Norfolk, Virginia, USA AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you ...

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of production AI/ML services and ...

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create ...

R0242615 AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to ...

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create ...

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training ...

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis ...

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is an innovative solutions development company that combines agile development services with next ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training ...

Showing results 21-40

Ml Engineer information

See Virginia salary details

$32.7K

$88.4K

$140.8K

How much do ml engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ml engineer in Virginia is $88,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $108,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What are the most commonly searched types of Ml Engineer jobs in Virginia? The most popular types of Ml Engineer jobs in Virginia are:
What cities in Virginia are hiring for Ml Engineer jobs? Cities in Virginia with the most Ml Engineer job openings:
Infographic showing various Ml Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,418 per year, or $42.5 per hour.

Full-time

Medical, Life, Retirement, PTO

Re-posted 21 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

9th of 72 rated business consultants


Job description

AI/ML Engineer

The Opportunity:
Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who need them most.

On our team, you'll streamline IT operations to enhance platform productivity to improve integrated warfighting capabilities including Agentic AI positioned as a critical enabler for next-gen autonomy and decision-support capabilities. Relate to AI enabled, policy controlled containerized application and data workload management and orchestration required for CDO-L and resilient capabilities.

As an experienced engineer, you know that building reliable and scalable AI systems requires strong software engineering practices, automation, and seamless integration across complex, secure environments. Your ability to design andmaintainrobust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technicalexpertiseand problemsolving mindset to support the development and operationalization of AI capabilities that directly enhance mission resilience, performance, and decisionmaking.

In this role,you'llguide the development of missioncritical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability.You'llcollaborate with others including AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems.You'llcontribute to solutions thatoptimizeresilience of warfighting capabilities including their data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments.

Join us. The world can't wait.

You Have:

  • 5+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments

  • 5+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools

  • 5+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks

  • 5+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins

  • 5+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data

  • 5+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in public cloud environments

  • Experience with artificial intelligence and machine learning frameworks for monitoring and optimization and containerization and container orchestration platforms and tools

  • Experience adding testing and security scans to pipelines

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform

  • Experience integrating AI systems architecture, AI platforms, or ML flow

  • TS/SCI clearance

  • ML, DevOps, or solution architecture certification

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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

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