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

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 ...

AERMOR LLC

Software Test Engineer

Norfolk, VA · On-site

Utilize tools such as VSCode, Jupyter Notebooks, AWS SageMaker, and Azure Machine Learning ... Research, Engineering, OR equivalent coursework demonstrating a computer-related background

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 ...

Booz Allen Hamilton

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 ...

AERMOR LLC

Software Test Engineer

Norfolk, VA · On-site

Utilize tools such as VSCode, Jupyter Notebooks, AWS SageMaker, and Azure Machine Learning ... Research, Engineering, OR equivalent coursework demonstrating a computer-related background

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA

$55K - $126K/yr

Experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics * Experience with software development or engineering ...

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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 Jun 11, 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.

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,590 per year, or $59.9 per hour.

Assistant/Associate Professor Position - School of Engineering, Architecture and Aviation

Hampton University Faculty

Hampton, VA • On-site

Full-time

Posted 7 days ago

Job description

Job Description
The Hampton University School of Engineering, Architecture and Aviation is seeking a candidate for appointment at the level of Assistant /Associate Professor in the Electrical and Computer Engineering Department. The candidate should have background and/or teaching and research experience in power engineering, controls, power electronics and be able to integrate artificial intelligence and machine learning into the subject area(s).
Duties and Responsibilities
The individual selected for this position will be expected to contribute to the research and academic missions of the Department of Electrical and Computer Engineering, and Hampton University; by developing curriculum and conducting research in power engineering, controls, power electronics as well as artificial intelligence and machine learning per specialization area(s).
Qualifications
The successful candidate must have a doctorate degree in Electrical Engineering or a closely related field with expertise in one or more of the following specializations: power engineering, power electronics, controls, artificial intelligence and machine learning.
The successful candidate is expected to possess the following skills and abilities:
  • A strong track record of publishing quality research papers in top-tier specialization journals and conferences.
  • A good understanding of applications of AI/ML in power engineering, power electronics or controls. They should be able to demonstrate research-level integration of AI/ML techniques in power electronics, power engineering or controls
  • A demonstrated ability to mentor and train undergraduate students to attain their full potential.
  • A deep understanding of traditional power engineering, power electronics and controls.
How to Apply
Review of applications is ongoing and will continue until the position is filled. The compensation package will be commensurate with experience. All interested applicants should submit a cover letter, curriculum vitae, research statement and a completed Hampton University Application for Faculty Employment Form electronically (only) to joyce.shirazi@hamptonu.edu
Forms
Visit https://home.hamptonu.edu/hr/employment/ to retrieve the faculty employment application and other supplemental application materials.

Apply