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Remote Machine Learning Jobs in Glen Allen, VA (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Richmond, VA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Federal Reserve Bank of Richmond

Data Architect

Richmond, VA · On-site +1

$63 - $81.25/hr

Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Airspace

FP&A Analyst

Richmond, VA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Location: Carlsbad, CA (Hybrid) or Remote Compensation Salary range: $70,000 - $80,000 * High ...

Capital One

Sr. Staff Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

... deploying machine learning models * 3+ years of experience implementing big data processing ... Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA ...

New

Genworth Financial

Actuary, Model Risk

Richmond, VA · On-site +1

$115K - $135K/yr

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Familiarity with predictive analytics, statistical techniques, or AI/machine learning models

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

The Davis Life Agency

Insurance Agent

Richmond, VA · On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

Genworth Financial

Data Scientist Manager

Richmond, VA · On-site +1

We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern and Central ...

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Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Glen Allen, VA

Remote Machine Learning information

See Glen Allen, VA salary details

$24.1K

$40.2K

$83.1K

How much do remote machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning in Glen Allen, VA is $40,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are popular job titles related to Remote Machine Learning jobs in Glen Allen, VA?

For Remote Machine Learning jobs in Glen Allen, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Glen Allen, VA look for?

The top searched job categories for Remote Machine Learning jobs in Glen Allen, VA are:

What cities near Glen Allen, VA are hiring for Remote Machine Learning jobs?

Cities near Glen Allen, VA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Glen Allen, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $40,220 per year, or $19.3 per hour.

Principal Data Scientist, Operations

Mission Lane

Richmond, VA • On-site, Remote

$185K - $204K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Key responsibilities

  • Design, develop, and deploy machine learning models to solve practical problems and help the business and customers reach their financial goals.

  • Partner with business leaders and technical experts to develop new data sources, improve modeling methodology, and apply models with sound risk management.

  • Mentor other data scientists and share best practices for operationalizing and evaluating models for real-world applications.

Job description

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind?

About the Role

As a Principal Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.

As a Principal Data Scientist, you'll:

Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You'll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.

You are a person who:

  • Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
  • Has a PhD in a quantitative field and 3+ years of experience in a related role 
  • Has a BS / MS in a quantitative field and 7+ years of experience in a related role 
  • You share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications
  • Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
  • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
  • Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools 

You get bonus points for:

  • Experience building predictive models end to end
  • Experience solving problems in consumer lending or fintech
  • Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks

We're offering:

We're committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.

  • Work: An engaging culture with access to training programs and advancement opportunities
  • Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
  • Balance: Generous PTO, flexible schedules, a Calm App subscription, and more

Compensation:
Annual full-time starting base salary range: $185,000 - $204,000

This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs. 

Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment.

About Mission Lane:

Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. 

It all started with a realization:  nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do.

In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. 

Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.

Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member.

Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. 

Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law.  Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com.

Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.

Application Integrity:

Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. 

Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.