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Freelance Nvidia Machine Learning Jobs in Washington, DC

Booz Allen Hamilton

Autonomy SME, Lead

Washington, DC · On-site

$62.25 - $85.50/hr

Responsibilities : • Design and train machine learning models for perception, object detection ... hardware, such as NVIDIA Jetson, GPUs, and embedded platforms • Experience with robotics ...

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Monitor AI machine learning biotechnology and national security policy trends Skills * A/B | A/B ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Reston, VA · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Washington, DC · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Ashton, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Lorton, VA · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Fairfax, VA · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

Booz Allen Hamilton, Inc.

Autonomy SME, Lead

Washington, DC · On-site +1

$116K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Potomac, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

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Freelance Nvidia Machine Learning information

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How much do freelance nvidia machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance nvidia machine learning in Washington, DC is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $69.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

What are some common challenges freelance Nvidia machine learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

What does a freelance Nvidia machine learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.

What are the most commonly searched types of Nvidia Machine Learning jobs in Washington, DC?

The most popular types of Nvidia Machine Learning jobs in Washington, DC are:

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For Freelance Nvidia Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Freelance Nvidia Machine Learning jobs in Washington, DC are:

Freelance Nvidia Machine Learning jobs near you

Autonomy SME, Lead

Booz Allen Hamilton

Washington, DC • On-site

$62.25 - $85.50/hr

Full-time

Re-posted 14 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is seeking an Autonomy SME, Lead to design, develop, and deploy machine learning models for unmanned systems. The role involves guiding autonomy architecture decisions, mentoring engineering teams, and supporting the integration of autonomy capabilities into military systems.
Responsibilities:
• Design and train machine learning models for perception, object detection, tracking, and classification.
• Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
• Implement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data.
• Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
• Develop and integrate autonomy behaviors within platforms such as Hivemind.
• Implement mission planning logic and adaptive decision-making algorithms.
• Enable collaborative autonomy between multiple UAS platforms.
• Lead the design and implementation of autonomy architectures for UAS and multi-agent systems.
• Build simulation-based training pipelines for autonomy validation.
• Deploy containerized AI models to airborne and ground edge nodes.
• Optimize inference latency and resource utilization.
• Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
• Develop secure software pipelines aligned to DoD cybersecurity standards.
• Integrate AI outputs into tactical networks and mission command systems.
• Implement CI/CD pipelines for rapid model iteration and field updates.
• Provide technical leadership and mentorship to engineers developing autonomy capabilities.
• Support flight testing, operational demonstrations, military exercises, and customer evaluations.
• Collaborate with government stakeholders, operators, and engineering teams to define autonomy requirements and roadmaps.
Qualifications:
Required:
• 5+ years of experience in software engineering, including AI/ML systems
• Experience with Python and C++
• Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNX
• Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platforms
• Experience with robotics middleware, such as ROS or ROS2
• Experience with computer vision or autonomous navigation systems
• Experience leading technical teams, architecture decisions, or autonomy-focused development efforts
• Experience integrating autonomous systems into operational, test, or simulation environments
• Ability to obtain a Secret clearance
• Bachelor’s degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering field
Preferred:
• Experience working in military exercises and war games
• Experience with autonomy frameworks such as Hivemind, PX4, ArduPilot, NVIDIA Isaac, or ROS2
• Experience with collaborative autonomy, swarming, or multi-agent mission execution
• Ability to support flight testing and operational evaluations
• Top Secret clearance
• Master’s degree
• ML, AI, or Solution Architecture Certification
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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