ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Norfolk, VA (NOW HIRING)

HII

MACHINIST SKILLBRIDGE INTERN

Newport News, VA · On-site

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

CDIT LLC

AI Engineer

Norfolk, VA · On-site

The AI Engineer will design, develop, and deploy machine learning, natural language processing, and generative AI solutions supporting the NMMES program at Naval Sea Systems Command (NAVSEA) in ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions. * Support technical documentation, architecture development ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Norfolk, VA

Machine Learning Engineer information

See Norfolk, VA salary details

$30.5K

$124.6K

$187.2K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Norfolk, VA is $124,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Norfolk, VA?

The most popular types of Machine Learning Engineer jobs in Norfolk, VA are:

What are popular job titles related to Machine Learning Engineer jobs in Norfolk, VA?

For Machine Learning Engineer jobs in Norfolk, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Norfolk, VA look for?

The top searched job categories for Machine Learning Engineer jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Machine Learning Engineer jobs?

Cities near Norfolk, VA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,590 per year, or $59.9 per hour.

Research Computer Scientist - Artificial Intelligence Machine Learning

Analytical Mechanics Associates

Hampton, VA • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Job Description:
In support of NASA Langley Research Center's Aeronautics Systems Engineering Branch, AMA is seeking highly skilled candidates in the field of Artificial Intelligence / Machine Learning. Specifically, AMA is seeking candidates to support work within the uncrewed aircraft systems domain developing machine learning algorithms and tools based on the use of vision and/or radar sensors for airspace surveillance, onboard sense and avoid, and perception of hazards for autonomous navigation. The selected candidate will work with NASA and regulatory authorities on the overall advancement of machine learning with the aviation industry and increase NASA's presence in the field. This position will be located on site at NASA LaRC.
Responsibilities:
  • Develop algorithms to detect, track, and classify uncrewed aircraft systems (multirotor, fixed wing, or VTOL), birds, general aviation vehicles, and commercial aviation vehicles
  • Integrate ground-based surveillance systems with airborne sensing suites by sharing data on an IoT platform
  • Conduct literature reviews to understand state of the art for machine learning, identifying gaps for aviation
  • Leverage previously collected NASA data along with future NASA and external data to evaluate machine learning techniques
  • Develop sensor fusion techniques for multiple sensor types using machine learning and traditional fusing techniques
  • Evaluate machine learning methodology using traditional machine learning metrics along with proposed aviation metrics by the Radio Technical Commission for Aeronautics (RTCA).
  • Assist in the design and execution of experiments at NASA Langley Research Center and Armstrong Flight Research Center
  • Assist in the development of machine learning challenges such as those for the Computer Vision Pattern Recognition Conference
  • Document research results for conference presentation and publication

Qualifications
  • MS or PhD in Computer Science or related computational field with concentrations in artificial intelligence and machine learning
  • Demonstrated experience in machine learning through published research papers
  • Expertise in machine learning, computer vision, sensor-based data acquisition
  • Application of machine learning with the aviation domain highly desired
  • Understanding of uncrewed aircraft systems operations highly desired
  • Must work well in highly collaborative dynamic environments with diverse team
  • Strong communications skills, written and verbal

Salary range: $100k-$150k
US citizenship or Permanent Residency is required
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

Apply