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Machine Learning Contract Remote Jobs in Chester, VA

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 ...

Varsity Tutors

Mechanical Engineering Tutor

Richmond, VA · Remote

$18 - $40/hr

... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Varsity Tutors

Statics Tutor

Richmond, VA · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Varsity Tutors

Statics and Dynamics Tutor

Richmond, VA · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

EdConnective

Virtual Instructional Coach

Richmond, VA · Remote

Virtual Instructional Coach Remote | Contract Who We Are At EdConnective, we believe the most ... With a personalized development plan and ongoing learning support, you'll have room to level up ...

EdConnective

Virtual Instructional Coach

Richmond, VA · On-site +1

Virtual Instructional Coach Remote | Contract Who We Are At EdConnective, we believe the most ... With a personalized development plan and ongoing learning support, you'll have room to level up ...

FCCI Insurance Group

Senior E&S Underwriter

Glen Allen, VA · On-site +1

$91K - $140K/yr

... learning and have compassion and respect for others? If so, FCCI Insurance Group is the company for ... contract, including developing manuscript wording appropriate to the risk. * Achieves team ...

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

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Chester, VA

Machine Learning Contract Remote information

See Chester, VA salary details

$23.5K

$39.2K

$81K

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

As of Aug 22, 2026, the average yearly pay for machine learning contract remote in Chester, VA is $39,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,300.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Chester, VA?

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

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

The top searched job categories for Machine Learning Contract Remote jobs in Chester, VA are:

What cities near Chester, VA are hiring for Machine Learning Contract Remote jobs?

Cities near Chester, VA with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Distinguished Engineer - Agentic AI (Remote-Eligible)

Capital One

Richmond, VA • On-site, Remote

Full-time

Posted 17 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Distinguished Engineer - Agentic AI (Remote-Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

About the Team
Business Cards & Payment's mission is to help businesses do more business - and the advent of Agentic AI offers massive new opportunities for BC&P to do so through real-time marketing and hyper personalized sales systems for business card customers.

We're hiring a Distinguished Engineer who is ready to carve BC&P's path towards an agentic future. Your mission will be to move BC&P beyond manual and reactive marketing and sales tools - helping us create our destination architecture for marketing platforms, build tools that help our sales teams be more effective, and help us lay the technical foundations of a real-time marketing strategy. You'll make direct contributions in this role: both defining our long term technical strategy and hands on prototyping, launch, and scaling of agentic systems.

Example areas you'll take on include:

  • Real-time, hyper personalized marketing systems that accurately & explainably prospect and engage new business customers.
  • Assistive technologies that arm our field agents with superhuman knowledge and context to grow deeper relationships and close more sales.
  • Exploration of autonomous sales agents (AISDRs) that self-improve via RLAIF.

As a Distinguished Engineer, you will be a technical expert defining the future of our architecture, collaborating across Capital One to drive innovation and deliver the systems that produce step function growth for our business.

You will lead through direct technical contribution: prototyping new features and systems, acting as a trusted advisor for key technologies, shaping our future architecture & evaluating what systems to build vs buy, and sharing knowledge internally and externally. Additionally, you will promote engineering excellence, foster an inclusive environment, and deeply mentor the next generation of technical talent.

If you are ready to work on some of the most cutting edge problems in our business, provide thought leadership, and have meaningful business impact, come join us in our mission to change banking for good!

Key responsibilities:

  • Rapidly prototype & assess new technologies that enable hyper personalized marketing and assistive field sales systems
  • Partner with (& influence) our enterprise and card tech organizations to help Capital One develop the best agentic marketing & sales systems on the planet
  • Establish and evangelize technical charters that will help the org more quickly adopt AI technologies
  • Bridge the gap between our current systems and the future, ensuring that existing systems remain healthy and continue to serve the business
  • Regularly clear roadblocks for developers across the org - with exceptional judgement for when to apply technical, process, or risk-acceptance solutions
  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
  • Continue learning and injecting advanced technical knowledge into our community
  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Provide architectural guidance and designs for large scale cross-domain programs
  • Working with engineering teams to design and execute PoCs and hands-on code contribution/reviews where necessary
Basic Qualifications:
  • Bachelor's Degree
  • At least 7 years of experience in software engineering and solution architecture
  • At least 7 years of experience in enterprise architecture and design patterns
  • At least 3 years of experience with AWS
Preferred Qualifications:
  • Master's Degree in Computer Science or a related field
  • 2+ years of experience working on applied and agentic AI systems
  • Strong communication skills with the ability to translate "Agentic AI" concepts into business value
  • 10+ years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 10+ years of experience coding in at least one of the following: Java, Python, Go, JavaScript, TypeScript, Swift
  • 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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