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Remote Python Machine Learning Jobs in District of Columbia

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

... Machine Learning, using both SDK V1 and SDK V2. Migrate source data identified by SBA OIG into ... Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.

Engineer 6, Machine Learning, Data & AI

Washington, DC · On-site +1

$129K - $155K/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.

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical ... Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

New

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

... the office for the remote option.) Job Summary About the Role We are looking for a motivated ... Peer Growth : Collaborate with team members through code reviews, focusing on learning and ...

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

... the office for the remote option.) Job Summary About the Role We are looking for a motivated ... Peer Growth : Collaborate with team members through code reviews, focusing on learning and ...

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

... production AI or machine learning applications. * Strong Python programming experience ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

Partnering with Account Directors, you will help mission owners adopt AI and machine learning with ... You are fluent in Python and comfortable across the modern AI stack, including model formats and ...

CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ... Python, iLogic, and VBA scripting. * Tolerance application. * Project documentation. * Strong ...

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning ... Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data ...

Showing results 21-40

Remote Python Machine Learning information

See District of Columbia salary details

$14

$66

$97

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 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:

Senior Data Engineer

Node.Digital

Washington, DC • Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Senior Data Engineer

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

      Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.

      Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.

      Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.

      Migrate source data identified by SBA OIG into Azure Data Lake Storage.

      Normalize entity attributes such as addresses, phone numbers, and other common fields.

      Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.

      Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.

      Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.

      Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.

      Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.

      Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.

      Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.

      Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.

      Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.

Requirements

Education

Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.

  • 5 years -Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years -Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS

  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training