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Remote Machine Learning Engineer Jobs in Spotsylvania, VA

Digital Links Inc

MeSH Developer

Ruther Glen, VA · Remote

MeSH Developer Location: DMV Need only locals to DMV USC, GC Experienced programmer with at least ... to support machine learning implementation. Knowledge of AWS or comparable cloud platforms ...

GAI Consultants

Power Generation Senior EIT 2

Glen Allen, VA · On-site +1

$95K - $131K/yr

This position is eligible for our flexible hybrid or remote work schedules. The successful ... Lead civil site engineering tasks * Interface with clients on civil site tasks * Lead assigned ...

GAI Consultants

Power Generation Senior EIT 2

Glen Allen, VA · On-site +1

$95K - $131K/yr

Under the direction of a Geotechnical Engineering Manager, this individual will provide geotechnical engineering and project site support for projects in the Energy, Transportation and Community ...

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Spotsylvania, VA

Remote Machine Learning Engineer information

See Spotsylvania, VA salary details

$31.8K

$130.1K

$195.5K

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

As of Sep 8, 2026, the average yearly pay for remote machine learning engineer in Spotsylvania, VA is $130,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $156,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What cities near Spotsylvania, VA are hiring for Remote Machine Learning Engineer jobs?

Cities near Spotsylvania, VA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Spotsylvania, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $130,118 per year, or $62.6 per hour.

MeSH Developer

Digital Links Inc

Ruther Glen, VA • Remote

Contractor

Posted 26 days ago

Job description

Role: MeSH Developer
Location: DMV
Need only locals to DMV
USC, GC
 
Experienced programmer with at least five years of application or systems development experience. Strong understanding of procedural and object-oriented programming and common design patterns. Demonstrated ability to work within large, complex codebases across the full technology stack. Capable of completing assignments independently with minimal supervision.
Collaborative team player who works effectively with others and actively communicates to support shared goals and successful project delivery.
A self-motivated learner committed to continuously expanding technical expertise and staying current with emerging technologies.
 
Required Qualifications:
Experience with web development technologies, including semantic HTML, CSS, JavaScript and TypeScript, DOM, Model/View/Controller (or similar), REST and JSON, and related server-side technologies, including NodeJS, ExpressJS and NPM.      Extensive experience with the Angular framework is required.
Familiarity with functional and event-driven programming concepts (callbacks, promises/futures, streaming, and reactive programming).
Experience coding algorithms to process complex data structures, e.g., multi-level combinations of objects, lists and hash tables.
Experience working with databases (SQL, Elasticsearch and MongoDB) and handling data through pipelines, ETL processes, and various file formats.
Extensive experience with Git source code control, including advanced operations like rebasing and squashing.
 
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
5+ years of professional software engineering experience.
Ability to work with Linux environments and shell programming.
Working knowledge of Python and pip, along with experience using numerical and data science libraries, including Keras and NumPy, to support machine learning implementation.
Knowledge of AWS or comparable cloud platforms, including cloud-agnostic architectures and services.
Knowledge of Medical Subject Headings or other medical terminologies.