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Machine Learning Contract Remote Jobs in Virginia

Maximus

Data Scientist (Remote)

VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is pending upon contract award. It requires active secret clearance at minimum. Why ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

New

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

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Machine Learning Contract Remote information

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

As of Aug 14, 2026, the average hourly pay for machine learning contract remote in Virginia is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $25.72 per hour, depending on experience, location, and employer.

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 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 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 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 Virginia?

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

What job categories do people searching Machine Learning Contract Remote jobs in Virginia look for?

The top searched job categories for Machine Learning Contract Remote jobs in Virginia are:

What cities in Virginia are hiring for Machine Learning Contract Remote jobs?

Cities in Virginia with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Artificial Intelligence/Machine Learning Engineer (AI/ML)

SAIC

Chantilly, VA • On-site, Remote

$100K - $200K/yr

Full-time

Retirement

Posted yesterday

New

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2615646

Location: Chantilly, VA, US

Date Posted: 2026-08-13

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI/ML Engineer to join our team conducting a wide variety of analyses in support of Government satellite programs in Earth orbits. Areas of work may include:

  • Recognizing different types of satellites based on observations of them using optical and radar sensors
  • Scheduling space surveillance sensors to collaboratively find, recognize and track maneuvering satellites
  • Deciding what activities satellites should undertake

Satellite designers and operations planners will leverage your analyses to inform critical decisions. As part of an agile team including experts in astrodynamics, sensors and AI/ML you will collaboratively simulate operations concepts at-scale with support from our cloud computing and supercomputing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.

  • Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones
  • Conduct independent trade studies and technical assessments
  • Review and validate algorithms and results provided by external teams
  • Develop and optionally present actionable technical briefings

Salary range: $100,000 – $200,000, based on qualifications listed below, plus company 401(k) match and discounted employee stock purchase plan

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm, options to work nine or eight days out of every two weeks

Stability: Our team supports a fully-funded prime contract with the government.  Additionally, our analysts routinely support other prime contracts as-necessary.  As a large company with a major presence in Northern Virginia, SAIC offers a broad array of work opportunities for employees locally as well as nationally.

Growth and career progression: You will have access to mentoring by experts in AI/ML and many other fields. Senior staff will have opportunities to serve as principals and team leaders.  Managers will maintain open communications to ensure that you thrive.

Detailed AI/ML job description:

  • Conduct Exploratory Data Analysis (EDA) to identify patterns for feature engineering
  • Design, develop, and evaluate machine learning algorithms, including supervised, unsupervised, and reinforcement learning
  • Build, train, and tune predictive models using state-of-the-art frameworks and tools
  • Collaborate with cross-functional teams to identify challenges, define problems, and translate them into actionable AI/ML solutions
  • Implement and optimize algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering, and natural language processing
  • Deploy machine learning models into production environments and establish pipelines for scalability and monitoring
  • Analyze model performance and identify opportunities for improvement by leveraging testing strategies and tuning hyperparameters

Qualifications

Required:

  • Education degree: Computer Science, Data Science, Applied Math, or a related technical field
  • Education and minimum professional experience for start of salary range: Bachelor’s plus two years, Master’s plus zero years, or PhD plus zero years
  • Experience: Astrodynamics
  • Programming: Python, C++, MATLAB, or similar
  • Clearance: Minimum of TS/SCI, should have current or be able to pass polygraph test

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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