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Machine Learning Engineer Manager Jobs in Virginia

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... You will collaborate closely with product managers, architects, and application teams to deliver ...

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Machine Learning Engineer Manager information

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$26.7K

$132.9K

$203.3K

How much do machine learning engineer manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer manager in Virginia is $132,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,978.00 and $162,412.00 per year, depending on experience, location, and employer.

What is a machine learning engineer manager?

Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.

What are the main challenges machine learning engineer managers face when leading teams?

Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?

To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.

What is the difference between Machine Learning Engineer Manager vs Data Scientist?

AspectMachine Learning Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; often leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads ML teams, manages projects, collaborates with engineeringAnalyzes data, builds models, reports insights, collaborates with business units
Employer & Industry UsageTech companies, AI firms, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis and modeling skills

The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.

Are machine learning engineer managers still in demand?

Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.

What are the most commonly searched types of Machine Learning Engineer jobs in Virginia?

The most popular types of Machine Learning Engineer jobs in Virginia are:

What cities in Virginia are hiring for Machine Learning Engineer Manager jobs?

Cities in Virginia with the most Machine Learning Engineer Manager job openings:

Infographic showing various Machine Learning Engineer Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $132,930 per year, or $63.9 per hour.

Machine Learning Engineer

Arlington, VA

BOOZ, ALLEN & HAMILTON, INC.
IT Services • 10K+ employees

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 18 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

Machine Learning Engineer
The Opportunity:
As an experience d AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for national security.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with artifi cia l intelligence, data science, sof tware engineering, or machine learning engineering, including developing and deploying models
  • Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph
  • Experience developing code using a common programming language, including Python, C++, Rus t, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience with supervised and unsupervised learning
  • Experience leveraging AI productivity tools for coding using tools such as Cursor

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 $77,600.00 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