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Remote Machine Learning Engineer Jobs in Norfolk, VA

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Norfolk, VA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Norfolk, VA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Cloud Architect Manager

Norfolk, VA · On-site +1

$63 - $80/hr

... data lakes, data fabric, machine learning, mobile, and digital experience technologies ... For positions that are available as remote work, Sentara Health employs associates in the following ...

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Remote Machine Learning Engineer information

See Norfolk, VA salary details

$30.5K

$124.6K

$187.2K

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

As of Jul 16, 2026, the average yearly pay for remote machine learning engineer in Norfolk, VA is $124,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
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 Remote Machine Learning Engineer jobs in Norfolk, VA? For Remote Machine Learning Engineer jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Norfolk, VA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Remote Machine Learning Engineer jobs? Cities near Norfolk, VA with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Norfolk, VA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $124,590 per year, or $59.9 per hour.
SUPERVISORY GENERAL ENGINEER

SUPERVISORY GENERAL ENGINEER

Military Sealift Command

Norfolk, VA • On-site, Remote

$150K - $195K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Military Sealift Command rating

7.0

Company rating: 7.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

33rd of 46 rated military and defense


Job description

Summary
This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.
You will serve as the Div Director of the Engineering Ops Div (N76) in the Engineering Dept (N7)
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Duties
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  • You will direct the Command wide efforts for ship systems, machinery, hull, and material operational engineering on all ships, which are designed, constructed, operated, maintained, and modernized using commercial maritime regulatory body standards
  • You will provide a full range of supervision to branch heads who supervise assigned engineers and naval architects and three lead Engineering Operations specialists.
  • You will direct the Command wide efforts for ship systems, machinery, hull, and material operational engineering on all ships, which are designed, constructed, operated, maintained, and modernized using commercial maritime regulatory body standards.
  • You will provide a full range of supervision to branch heads who supervise assigned engineers and naval architects and three lead Engineering Operations specialists.
  • You will provide emergent remote and onboard technical support and root cause analysis for ship system, machinery, hull, and material casualties across the MSC fleet, directing engineering teams to assess defects and restore operational readiness.
  • You will serve as an expert and technical authority on operational Engineering Ops matters encompassing machinery operations, equipment monitoring and control, electrical systems, steering, structural, navigation, and integrated bridge systems.
  • You will review and analyze proposed and new regulations and commercial standards (USCG, ABS, IMO), direct the determination of their applicability, and advise the Engineering Director on their impact to the fleet.
  • You will represent COMSC to other Govt. organizations, commercial activities, and regulatory bodies on ship systems and operational engineering issues, including justifying, defending, and negotiating highly controversial engineering matters.

Requirements
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Conditions of employment
  • Must be a US Citizen.
  • Must be determined suitable for federal employment.
  • Must participate in the direct deposit pay program.
  • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov
  • Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326.
  • Males born after 12-31-59 must be registered for Selective Service.
  • You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal.
  • This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time.
  • Overtime may be required.
  • Pre-employment Physical is required.
  • A favorable ANACI (Access National Agency Check and Inquiries) background investigation is required for noncritical sensitive positions with access to network systems.

Qualifications
Your resume must also demonstrate at least one year of SPECIALIZED experience at or equivalent to the GS-14 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following:
1. Experience applying advanced engineering principles and practices of naval architecture, marine engineering, electrical engineering and maintenance management to ship design, system engineering operations, maintenance, marine casualties, RCAs, investigations, and engineering management of a diverse fleet of ships.
2. Experience managing complex technical programs including acquiring and administering resources, integrating internal and external program/policy issues, and evaluating effectiveness.
3. Experience leading people to accomplish highly technical engineering programs and projects.
Additional qualification information can be found from the following Office of Personnel Management website:
https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.
Education
Basic Requirements:
A. Degree: Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; 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
B. 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 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: 1. Professional registration or licensure Current registration as an Engineer Intern (EI), Engineer in Training (EIT)1 , or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions. registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico. 3. Specified academic courses Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A.
The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A. 4. Related curriculum Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.)
Additional information
This position is covered by the Department of Defense Priority Placement Program.
Several vacancies may be filled.
A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments.
Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf.
Veteran's preference does not apply when selecting individuals under this specific hiring authority. However, if you claim veteran's preference, you will be required to submit supporting documentation with your application as described in the Required Documents section below.
Shipyard and shipboard work are a requirement of the position where the incumbent may be required to climb, crawl, and bend to accomplish shipboard inspections in a shipyard environment. Exposure to high heat and noise conditions in shipyards will be experienced.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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