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Machine Learning Contract Remote Jobs in Washington, DC

micro1 AI

Attorney - Remote

Washington, DC · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Alexandria, VA · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Washington, DC

Machine Learning Contract Remote information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

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

As of Jun 17, 2026, the average yearly pay for machine learning contract remote in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively 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 are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

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 machine learning contract remote jobs?

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 the most commonly searched types of Machine Learning Remote jobs in Washington, DC? The most popular types of Machine Learning Remote jobs in Washington, DC are:
What are popular job titles related to Machine Learning Contract Remote jobs in Washington, DC? For Machine Learning Contract Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Washington, DC look for? The top searched job categories for Machine Learning Contract Remote jobs in Washington, DC are:
Machine Learning Contract Remote jobs near you
Infographic showing various Machine Learning Contract Remote job openings in Washington, DC as of June 2026, with employment types broken down into 3% As Needed, 63% Full Time, 30% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

NT Concepts

Chantilly, VA • On-site, Remote

Other

Posted 10 days ago

Job description

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission.

If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building advanced simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine to train computer vision models. This requires coding in Python with PyTorch/PyTorch3D, implementing and maintaining development environments and supporting ML tools.

Additionally, you will contribute to the program's source code, implementing data science techniques. Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.

If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect. Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve.

This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. Clearance: Active TS/SCI preferred. Ability to obtain/maintain Secret level security clearance.

US Citizenship is required. Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients.

You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology. * Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.

* Develop machine learning models and pipelines that are integral to mission success within this computer vision platform. Qualifications: * 6+ years of relevant hands-on experience developing and implementing ML algorithms * Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow) * Understanding of machine learning techniques and algorithms specifically focus on 3D computations and backpropagation using 3D tensors and transforms * Familiarity with existing simulation engines such as Blender, Unity, and Unreal Engine * Experience utilizing or building simulation engines to validate computer vision models performance * Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD * Experience building and maintaining machine learning pipelines * Experience with container applications such as Docker, Kubernetes, OpenShift * Practical programming and scripting skills (Python preferred) * Understanding of data structures, data modeling and software architecture.

* A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams * Experience with synthetic data generation for training and evaluation of ML Models * Experience working with customers to better optimize their ML objectives * Fast learner, analytical thinker, creative, hands-on, strong communication skills * Able to work both independently and as part of a team * Excellent problem-solving skills and attention to detail * Experience working with LLMs for problem solving and code production in a safe and responsible manner Physical Requirements: * Prolonged periods sitting at a desk and working on a computer. * Must be able to lift up to 10-15 pounds at times. #JT

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