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

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 ...

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

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Showing results 1-20

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

Machine Learning Engineer information

See Hampton, VA salary details

$30.4K

$124.4K

$187K

How much do machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning engineer in Hampton, VA is $124,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,800.00 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 Hampton, VA? The most popular types of Machine Learning Engineer jobs in Hampton, VA are:
What job categories do people searching Machine Learning Engineer jobs in Hampton, VA look for? The top searched job categories for Machine Learning Engineer jobs in Hampton, VA are:
What cities near Hampton, VA are hiring for Machine Learning Engineer jobs? Cities near Hampton, VA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hampton, VA as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,447 per year, or $59.8 per hour.
Junior Full Stack Engineer

Junior Full Stack Engineer

SynergisticIT

Norfolk, VA

Other

Posted 24 days ago

Job description

Synergisticit Job Opportunities

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this job market also, our candidates are able to achieve multiple job offers and $100k+ salaries.

Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit

Why do tech companies not hire recent computer science graduates? SynergisticIT Technical skills or experience? Which one is important to get a job? SynergisticIT All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle knowledge of statistics, gen AI, LLM, Python, computer vision, data visualization tools excellent written and verbal communication skills. Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

Required skills for Java/full stack/software positions bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle project work on the skills knowledge of core Java, javascript, C++, or software programming Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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