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Freelance Google Machine Learning Engineer Jobs in Silver Spring, MD

Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Arlington, VA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data to support defense technology solutions. You will lead ...

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA. The ideal candidate will bring hands-on experience in machine learning, advanced analytics, and AI ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0244880 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Machine Learning Engineer

Washington, DC

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Alexandria, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions * Experience ...

Machine Learning Engineer

Washington, DC

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Showing results 41-60

Freelance Google Machine Learning Engineer information

See Silver Spring, MD salary details

$15

$49

$136

How much do freelance google machine learning engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for freelance google machine learning engineer in Silver Spring, MD is $49.32, according to ZipRecruiter salary data. Most workers in this role earn between $25.10 and $63.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance Google Machine Learning Engineer?

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What does a freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

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

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

What are popular job titles related to Freelance Google Machine Learning Engineer jobs in Silver Spring, MD?

For Freelance Google Machine Learning Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Freelance Google Machine Learning Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Freelance Google Machine Learning Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Freelance Google Machine Learning Engineer jobs?

Cities near Silver Spring, MD with the most Freelance Google Machine Learning Engineer job openings:

Machine Learning Engineer

AISquared

Washington, DC • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for deploying, maintaining, and monitoring AI/ML systems, while collaborating with data scientists and product teams to ensure reliable and efficient solutions.
Responsibilities:
• Design, implement, and maintain ML deployment pipelines for scalable production systems.
• Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
• Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
• Partner with data scientists to transition models from research/prototype into production-ready deployments.
• Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
• Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
• Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
• Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
Qualifications:
Required:
• 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
• Proven experience deploying and maintaining machine learning models in production at scale.
• Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
• Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
• Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
• Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
• Strong understanding of MLOps best practices, monitoring, and automation.
• Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
• Strong communication and collaboration skills across technical and non-technical teams.
Company:
AISquared is a SaaS that provides AI model integration, real-time insights, data analytics, and optimization services. Founded in 2021, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Growth Stage.