ZipRecruiter

Log In

1

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

Varsity Tutors

Machine Learning Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

HII

MACHINIST SKILLBRIDGE INTERN

Newport News, VA

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

previous pagenext page

Showing results 21-40

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 Aug 15, 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.

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 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 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 August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,447 per year, or $59.8 per hour.

Machine Learning Engineer - Training & Simulation Systems (Engineer Machine Learning 2)

HII's Mission Technologies division

Virginia Beach, VA

$95K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Requisition Number: 29568 

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $95,004.00 - $122,000.00 

Security Clearance: Secret  

Level of Experience: Mid 

This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business.
As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts.
For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness.
HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges.

Leadership Mindset at HII - Mission Technologies

Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:

  • Know & Grow Your People - Commit to learning and supporting team success.
  • Build Relationships - Communicate openly, collaborate well, and build trust.
  • Take Ownership - Deliver on commitments and take pride in your work.
  • Customer First - Focus on the mission and those we serve.
  • Shape the Future - Bring ideas, curiosity, and continuous improvement.
  • Act with Urgency - Take initiative and follow through with purpose.

These capabilities guide how all employees contribute to our shared success across Mission Technologies.

Summary

HII Mission Technologies is seeking a Machine Learning Engineer to support the design, development, and deployment of advanced training and simulation capabilities within the Advanced Training Domain (ATD) System-a shipboard combat system trainer that enhances U.S. Navy operational readiness. This fulltime, onsite role is part of a highperforming engineering team delivering missiondriven solutions that improve warfighter training and decisionmaking.

In this role, you will help integrate machinelearning and datadriven capabilities that elevate the realism, adaptability, and performance of nextgeneration combat system training environments.

Impact, Growth & Development
  • Strengthen U.S. Navy readiness by engineering ML solutions that improve training fidelity and system performance
  • Collaborate with software engineers, data engineers, analysts, and end users to solve operationally relevant challenges
  • Grow your skills through handson work with highfidelity simulation systems, realworld training data, and modern ML/AI toolchains
  • Contribute to innovations that shape future combat system training platforms
Key Job Responsibilities
  • Participate in Agile sprint planning and execution across crossfunctional engineering teams
  • Design, develop, and deploy machine learning models supporting simulation accuracy, data analytics, performance prediction, and systembehavior modeling
  • Build data pipelines for collection, preprocessing, labeling, and training using structured and unstructured Navy training data
  • Integrate ML models into Linuxbased training systems using containers, APIs, or embedded inference engines
  • Troubleshoot, optimize, and maintain ML workflows including performance tuning, error analysis, and model explainability
  • Develop supporting documentation such as architecture diagrams, dataflow documentation, model cards, evaluation reports, and code commentary
  • Conduct developer testing in lab environments and aboard ship when required
  • Provide occasional onsite support for installations, model validation, and user evaluations (up to 10% travel)
  • Perform additional related duties as assigned to support project and organizational needs
What you must have
Required Education & Experience
  • 2 years of relevant experience with a Bachelor's degree in a related field, OR
  • 0 years of experience with a Master's degree in a related field, OR
  • High school diploma or equivalent and 6 years of relevant experience
Required Knowledge & Skills
  • Experience developing and deploying machine learning models using Python frameworks such as PyTorch, TensorFlow, or Scikitlearn
  • Handson experience with Linuxbased development environments
  • Familiarity with Agile/Scrum methodologies
  • Experience implementing data pipelines, feature engineering, and modeltraining/evaluation workflows
  • Ability to troubleshoot complex software, data, or modelrelated issues
Required Credentials
  • Ability to otain a DoD Information Assurance Technician (IAT) Level II certification or higher (e.g., Security+ CE, CCNA Security, CySA+) within 3 months of hire if not currently held.
  • Must be a U.S. Citizen
  • Must hold a current or active DoD Secret clearance
Preferred Requirements
  • Degree in Computer Science, Data Science, ML/AI, Engineering, or related technical field
  • IAT Level II certification or higher (e.g., Security+ CE, CCNA Security, CySA+)
  • Experience with highfidelity training systems, simulation environments, or Navy combat systems
  • Experience deploying ML models in operational or realtime systems (e.g., REST APIs, message queues, embedded inference)
  • Familiarity with ActiveMQ, messaging systems, or streamingdata frameworks
  • Experience with MLOps tools such as GitLab CI/CD, Docker, Podman, Kubernetes, or virtualization technologies
  • Background in data analysis for mission systems, sensor data, or tactical environments
  • Experience with Jira, Git, or Subversion
Physical Qualifications

May require working in an office, industrial, shipboard, or laboratory environment. Must be capable of climbing ladders and tolerating confined spaces and a range of temperature conditions during shipboard or testing activities.


The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
Do You Need Assistance? 
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Apply