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Entry Level Machine Learning Engineer Jobs in Virginia Beach, VA

ENGINEER ELECTRICAL 2

Newport News, VA

$89K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER ELECTRICAL 2-Newport News,Virginia

Smithfield, VA · On-site

$89K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER ELECTRICAL 2-Newport News,Virginia

Smithfield, VA · On-site

$89K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER ELECTRICAL 1

Newport News, VA · On-site

$84K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER ELECTRICAL 1-Newport News,Virginia

Smithfield, VA

$84K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER ELECTRICAL 1-Newport News,Virginia

Smithfield, VA · On-site

$84K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

MACHINIST (CERTIFICATION REQUIRED)

Newport News, VA · On-site

$59K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

MACHINIST (CERTIFICATION REQUIRED)

Newport News, VA · On-site

$59K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER MECHANICAL 1

Newport News, VA

$84K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Entry Level Machine Learning Engineer information

See Virginia Beach, VA salary details

$26.1K

$60.3K

$102.6K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level machine learning engineer in Virginia Beach, VA is $60,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $68,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Virginia Beach, VA?

The most popular types of Machine Learning Engineer jobs in Virginia Beach, VA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Virginia Beach, VA?

For Entry Level Machine Learning Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:

What cities near Virginia Beach, VA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Virginia Beach, VA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $65,873 per year, or $31.7 per hour.

INTERDISCIPLINARY ENGINEER/SCIENTIST

U.S. Department of Defense (DOD)

Suffolk, VA • On-site

$127K/yr

Full-time

Posted 6 days ago


U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

This position is part of the Organization of the Joint Chiefs of Staff, Joint Chiefs of Staff. The incumbent will be responsible for advancing the organization's mission by leading data and artificial intelligence (AI) initiatives and facilitating, coordinating, and executing professional scientific functions to store, manipulate, transform and present information by means of computer systems.Qualifications:You may qualify at the GS GS-14, if you fulfill the following qualifications:
A. One year of specialized experience equivalent to the GS-13 grade level in the Federal service as listed below:
  • Leading strategic planning, requirements refinement, research, design, and architecting of AI/ML-enabled data solutions, technology roadmaps overseeing the development, integration, testing and transitioning of advanced analytics and machine learning systems in support of a large-scale, data-intensive environment.
  • Designing and implementing software and data pipelines compliant with Risk Management Framework (RMF) and simulation interoperability standards, and applying methods from data science, AI/ML, physical sciences, geography, and social sciences to deliver mission-driven analytic capabilities.
  • Knowledge of data schemas, ontologies, and experience working with standards to provide advice and guidance.
  • Knowledge of principles, practices, and processes required for data collection, manipulation, cleaning, transformation, analysis and visualization to drive decisions for the Department of Defense or other large organizations.
Substitution of education may not be used in lieu of specialized experience for this grade level.
In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual
Occupational Requirements for the 0801/0854/1301/1550, series as listed below:
Leading strategic planning, requirements refinement, research, design, and architecting of AI/ML-enabled data solutions, technology roadmaps overseeing the development, integration, testing and transitioning of advanced analytics and machine learning systems in support of a large-scale, data-intensive environment.
For the 0801-0854 Series: Degree: a professional engineering. To be acceptable, the curriculum must: (1) be in a school of engineering with at least one curriculum accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. OR aCombination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying professional engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering.
For the 1301 Series Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics. OR a Combination of education and experience -- education equivalent to one of the majors shown in A above that included at least 24 semester hours in physical science and/or related engineering science, plus appropriate experience or additional education.
For the 1550 Series-Degree: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.Education:REQUIRED:
801-854 Series: Degree: a professional engineering. To be acceptable, the curriculum must: (1) be in a school of engineering with at least one curriculum accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics.
OR
Combination of education and experience
-- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying professional engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf
1301 Series Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics.
OR
Combination of education and experience -- education equivalent to one of the majors shown in A above that included at least 24 semester hours in physical science and/or related engineering science, plus appropriate experience or additional education.
1550 Series-Degree: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
**Failure to provide transcripts will result in you being rated ineligible for this position.
All materials must be submitted by the closing date of the announcement.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://www2.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html
All materials must be submitted by the closing date of the announcement.Employment Type: OTHER

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