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Remote Python Machine Learning Jobs in District of Columbia

ManTech

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist ... Experience with natural language processing, text mining, or machine learning techniques * Ability ...

Booz Allen Hamilton, Inc.

Autonomy SME, Lead

Washington, DC · On-site +1

$116K - $152K/yr

Remote Work: Hybrid Job Number: R0243516 Location: Washington,DC,US Share job via: Share Autonomy ... Design and train machine learning models for perception, object detection, tracking, and ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

Remote Work: No Job Number: R0245391 Location: Shaw AFB,SC,US Share job via: Share Data Scientist ... Experience with natural language processing, text mining, or machine learning techniques * Secret ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

Experience testing AI, machine learning, or large language model applications * Familiarity with ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Varsity Tutors

Data Science Tutor

Washington, DC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer ... Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ...

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Remote Python Machine Learning information

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

As of Aug 20, 2026, the average hourly pay for remote python machine learning in District of Columbia is $66.24, according to ZipRecruiter salary data. Most workers in this role earn between $54.62 and $75.24 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are the most commonly searched types of Python Machine Learning jobs in District of Columbia?

The most popular types of Python Machine Learning jobs in District of Columbia are:

What are popular job titles related to Remote Python Machine Learning jobs in District of Columbia?

For Remote Python Machine Learning jobs in District of Columbia, the most frequently searched job titles are:

What job categories do people searching Remote Python Machine Learning jobs in District of Columbia look for?

The top searched job categories for Remote Python Machine Learning jobs in District of Columbia are:

What cities in District of Columbia are hiring for Remote Python Machine Learning jobs?

Cities in District of Columbia with the most Remote Python Machine Learning job openings:

Remote Python Machine Learning jobs near you

AI Engineer

ManTech

Washington, DC • On-site, Remote

$141K - $236K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 29 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.

The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.

Responsibilities include but are not limited to:

  • Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
  • Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.
  • Build and maintain scalable AI orchestration frameworks and production-ready AI systems.
  • Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.
  • Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.
  • Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.

Minimum Qualifications:

  • Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.
  • Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.
  • In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.
  • Experience with Kubernetes-based AI deployments and GPU optimization techniques.
  • Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering or a related field.
  • Experience with LangGraph, Semantic Kernel, and agentic AI systems.
  • Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.
  • Advanced degree (Master's or PhD) in a technical field.

Clearance Requirements:

  • TS/SCI with the ability to obtain and maintain a polygraph 

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Constantly operates a computer and other office productivity machinery.

The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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