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Machine Learning Jobs in Williamsburg, VA (NOW HIRING)

Build and deploy machine learning models, including solutions leveraging Large Language Models (LLMs) and generative AI * Develop end-to-end RPA workflows using UiPath or Microsoft Power Automate

Build and deploy machine learning models, including solutions leveraging Large Language Models (LLMs) and generative AI * Develop end-to-end RPA workflows using UiPath or Microsoft Power Automate

Experience integrating AI or machine learning approaches into environmental modeling * Experience with operational forecasting systems * Experience working on NOAA-funded or federal research projects

ENGINEER TOOL 1

Newport News, VA · On-site

$65K - $82K/yr

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

ENGINEER TOOL 1

Newport News, VA · On-site

$65K - $82K/yr

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

Showing results 41-60

Machine Learning information

See Williamsburg, VA salary details

$24.4K

$40.8K

$84.4K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Williamsburg, VA is $40,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are popular job titles related to Machine Learning jobs in Williamsburg, VA?

For Machine Learning jobs in Williamsburg, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Williamsburg, VA look for?

The top searched job categories for Machine Learning jobs in Williamsburg, VA are:

What cities near Williamsburg, VA are hiring for Machine Learning jobs?

Cities near Williamsburg, VA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Williamsburg, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,829 per year, or $19.6 per hour.

CNC MACHINIST EXPERIENCED - OYSTER POINT INDUSTRIAL PARK

HII

Newport News, VA

$74K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,515 frontline employees who took The Breakroom Quiz


Job description

CNC MACHINIST EXPERIENCED - OYSTER POINT INDUSTRIAL PARK
Location:
Newport News, Virginia, United States
Date: Aug 25, 2026
Req ID: 49301
Team: X65 OPIP MECHANICAL
Entity: Newport News Shipbuilding
US Citizenship Required for this Position: Yes
Full-Time
Shift: Multiple
Relocation: No relocation assistance available
Virtual/Telework Opportunity: No - Not eligible for telework
Travel Requirements: Yes, 10%-25% of the time
Clearance Required: No - Clearance Not Required to Start
Salary Range: $74,297.60 to $85,196.80
The anticipated salary range represents the estimated base pay for this role. Final compensation will be determined based on experience, qualifications, and other job-related factors, and may vary from the posted range
Meet HII's Newport News Shipbuilding
With more than 25,000 employees - including third-, fourth- and even fifth-generation shipbuilders - HII's Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We're the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users. We collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you.
The Role
Inside (CNC) Machinists operate various machines (manual and/or CNC) such as; lathes, mills, vertical machining centers, horizontal boring mills, etc. Inside machinists troubleshoot operations and take appropriate actions to correct. The machinists perform quality inspections, verifying dimensions of work piece are in accordance with drawing specifications.
Watch this machinist video to learn more: https://youtu.be/INyggCgFqL0
This Job Listing as at an off-site location: Oyster Point Industrial Park, Newport News, VA.
Must Have
Must be willing to undergo a background investigation and drug screen
Must be able to pass physical agility test
Must be able to kneel, squat, crawl, bend, stoop, and climb on a daily basis
Must be able to lift at least 40 pounds
Must be able to perform overhead work
Must be able to work at extreme heights
Must be able to perform work outdoors, year- round, in all weather conditions
Must be able to work in small, tight, confined spaces
Must be able to take measurements or be willing to learn
Must be willing to work in radiation areas, but with the appropriate training and equipment
Must be able to be clean shaven to wear a respirator
Must be able to work overtime as needed
Must be willing to work any shift
Candidates must be 18 years of age or older and legally eligible to work in the U.S.
Prior CNC Machinist Experience with 3 (three) or more years.
Nice to Have
Prior Mechanical experience such as Automotive Repair, Plant Maintenance, Machinery Installation/Repair is a plus. Successful completion of a technical/vocational program in Machining, Diesel Technology, Automotive, HVAC, Mechanical.
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. HII's diverse 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.
Working at HII is more than a job - it's an opportunity to build a future. We offer comprehensive benefits including: medical, prescription drug, dental and vision plan choices, on-site health centers, tele-medicine, wellness resources, employee assistance programs, savings plan options (401K), financial education and planning tools, life insurance, tuition reimbursement, employee discounts, early childhood and post-secondary education scholarships, and more. Some benefits may vary depending on your specific division or work location.
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. U.S. Citizenship may be required for certain positions.
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 e-mail address.
Additionally, you may also call 1-844-849-8463 for assistance. Press #2 for Newport News Shipbuilding.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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