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Machine Learning Engineer Jobs in Virginia Beach, VA

Navstar

AI/ML Engineer

Norfolk, VA

$77K - $176K/yr

Secret Polygraph Salary: $77,500.00 to $176,000.00 (annualized USD) You Have: * 2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering ...

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 ...

Think Consulting

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101K - $121K/yr

This role sits at the intersection of data engineering, machine learning, and generative AI, with a strong focus on building reliable, production-ready systems that power analytics, intelligent ...

CACI bv

Artificial Intelligence & Cloud Engineer

Norfolk, VA · On-site

$48 - $64.25/hr

They are seeking an Artificial Intelligence & Cloud Engineer to research, design, build, and deploy AI and Machine Learning solutions, contributing to software development projects and collaborating ...

New

SynergisticIT

Java Developer - Remote

Virginia Beach, VA

$50.50 - $64.50/hr

Excellent written and verbal communication skills For Data Science/Machine Learning Required Skills * Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics * Experience with software ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Virginia Beach, VA

Machine Learning Engineer information

See Virginia Beach, VA salary details

$28.2K

$115.1K

$173K

How much do machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning engineer in Virginia Beach, VA is $115,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,600.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 Virginia Beach, VA? The most popular types of Machine Learning Engineer jobs in Virginia Beach, VA are:
What are popular job titles related to Machine Learning Engineer jobs in Virginia Beach, VA? For Machine Learning Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:
What cities near Virginia Beach, VA are hiring for Machine Learning Engineer jobs? Cities near Virginia Beach, VA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Virginia Beach, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $115,137 per year, or $55.4 per hour.
AI/ML Engineer

AI/ML Engineer

Navstar

Norfolk, VA

$77K - $176K/yr

Other

Posted 18 days ago

Job description

AI/ML Engineer

Design and implement effective AI solution architecture utilizing approaches of various AI technologies and methods to address Marine Corps operational needs. Apply advanced technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members, as needed. Contribute to the direction of critical solutions by applying best-fit ML algorithms and technologies. Help your clients navigate the landscape of ML algorithms, tools, and frameworks.

Location: Norfolk, VA

Security Clearance: Secret Polygraph

Salary: $77,500.00 to $176,000.00 (annualized USD)

You Have:

  • 2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics
  • Experience with software development or engineering, including in an academic or professional environment
  • Experience with big data technologies, such as Spark, Hadoop, or Databricks
  • Experience with a programming language, including Python, C#, or Java
  • Ability to create solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
  • Experience with embedded systems programming in C, C++, or Rust
  • Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
  • Ability to create software for retrieving, parsing, and processing structured and unstructured data
  • Master's degree

Compensation 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.

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.

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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