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Remote Python Machine Learning Jobs in Alexandria, VA

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

NT Concepts

Python Developer

Herndon, VA · On-site +1

$51.75 - $71.25/hr

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities ... that power machine learning workloads in a cloud-native, containerized environment. Clearance

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

As of Jun 1, 2026, the average hourly pay for remote python machine learning in Alexandria, VA is $62.74, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $71.25 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

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 are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

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 some typical daily tasks for a Remote Python Machine Learning professional?

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.
More about Remote Python Machine Learning jobs
What are the most commonly searched types of Python Machine Learning jobs in Alexandria, VA? The most popular types of Python Machine Learning jobs in Alexandria, VA are:
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What cities near Alexandria, VA are hiring for Remote Python Machine Learning jobs? Cities near Alexandria, VA with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you

System Engineer - Machine Learning (ML) Integration and Optimization

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

System Engineer For Machine Learning (Ml) Integration And Optimization

AEITS, Inc., a GTSC company, is growing its team! Seeking a System Engineer for Machine Learning (ML) Integration and Optimization to support our customer in the Annapolis Junction, MD area.

Location: Annapolis Junction, Maryland

All work is on-site. This is not a hybrid or remote position.

Mission: As a System Engineer for Machine Learning (ML) Integration and Optimization, you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Requirements:

  • U.S. Citizenship
  • Active TS/SCI with polygraph
  • Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required.
  • Strong interpersonal, communications and writing skills.
  • Basic Linux skills required.

Desired Qualifications

  • Experience Testing Machine Learning Models.
  • Experience with Yolo
  • Experience with Python.
  • Experience with Wireshark or other protocol analyzer.
  • Knowledge of and experience with scripting languages to process automation.
  • Experience installing, monitoring, and optimizing Kubernetes clusters.
  • Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452).
  • Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding.

You are responsible for:

  • Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Benefits - Full-time Employees

  • 401K with employer contribution. Fully vested at 1 year anniversary.
  • Five (5) weeks comprehensive annual leave (25 workdays).
  • Additional leave can be earned in lieu of overtime.
  • 11 Paid Federal Government Holidays.
  • Up to $5,000 annually for individually tailored education / training program.
  • All education plans must be pre-approved by Advantage Engineering management.
  • Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents.
  • Short-term and long-term disability.
  • We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst.
  • All employees are eligible to earn generous incentives and performance bonuses.

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.

GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at Recruiting@GTSC.com.

Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.

GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.

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