ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Norfolk, VA

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 ...

previous pagenext page

Showing results 21-40

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

Senior Machine Learning Engineer information

See Norfolk, VA salary details

$57.6K

$122.4K

$177.5K

How much do senior machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Norfolk, VA is $122,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $138,800.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Norfolk, VA? For Senior Machine Learning Engineer jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Norfolk, VA look for? The top searched job categories for Senior Machine Learning Engineer jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Senior Machine Learning Engineer jobs? Cities near Norfolk, VA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,449 per year, or $58.9 per hour.

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

HII's Mission Technologies division

Virginia Beach, VA • On-site

$95K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 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