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Full Stack Machine Learning Engineer Jobs (NOW HIRING)

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA

$13K/mo

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

$13K/mo

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Inovalon

Senior Machine Learning Engineer

$125K - $165K/yr

... full model development lifecycle on a modern, cloud-native AWS stack. Responsibilities : • Design, train, and deploy machine learning models spanning classical ML (classification, regression ...

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Full Stack Machine Learning Engineer information

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How much do full stack machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What are some typical challenges Full Stack Machine Learning Engineers face, and how do they overcome them?

Full Stack Machine Learning Engineers often encounter challenges such as integrating complex machine learning models into scalable and maintainable production systems, and ensuring efficiency across both backend and frontend components. They must address issues like managing large and varied datasets, optimizing model inference times, and adapting to fast-evolving technologies. Overcoming these hurdles often requires close collaboration with data scientists, DevOps professionals, and product teams, as well as staying updated with best practices in MLOps and system architecture. Being proactive in learning new tools and fostering effective communication are key strategies for success in this dynamic role.

What are the key skills and qualifications needed to thrive in the Full Stack Machine Learning Engineer position, and why are they important?

To thrive as a Full Stack Machine Learning Engineer, you need robust programming skills (Python, JavaScript), a deep understanding of machine learning algorithms, and experience with both backend and frontend development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and tools such as Docker and Kubernetes, as well as relevant certifications, are highly beneficial. Strong problem-solving abilities, effective communication, and a collaborative mindset are essential soft skills for working across interdisciplinary teams. These competencies are crucial to designing, deploying, and scaling machine learning solutions in production environments while ensuring seamless integration from data to user interface.

What is a Full Stack Machine Learning Engineer job?

A Full Stack Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models into production. They work across the entire ML pipeline, from data collection and preprocessing to model training, evaluation, and deployment using backend and frontend technologies. This role requires expertise in software engineering, data engineering, and machine learning frameworks like TensorFlow or PyTorch. Additionally, they ensure scalability, reliability, and maintainability of ML systems in real-world applications.

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Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Applied Information Sciences

Washington, DC

$100K - $150K/yr

Full-time

Posted 22 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

What you will be doing?

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Engineer.

  • Core Knowledge & Skills: Works across multiple languages and platforms, designs and implements architectural decisions, applies design patterns, cloud-native services, IAAS/PAAS/SAAS basics, and secure coding practices (e.g., OWASP Top 10).

  • Work & Complexity: Performs complex tasks under limited guidance, integrates and troubleshoots distributed or cloud services, and optimizes performance and scalability.

  • Quality & Independence: Sets a high bar for code quality, multitasks effectively, owns and corrects errors quickly, and drives continuous improvement.

  • Teamwork & Communication: Leads code reviews, mentors teammates, and translates technical concepts for non-technical stakeholders.

  • Consulting & Engagement: Works directly with clients without oversight, writes technical RFP content when needed, nurtures client relationships, and manages routine client concerns.

As your initial project assignment, you will support the unique needs of our client as a Machine Learning Engineer. Project Summary

AIS is seeking a Machine Learning Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities

  • Develop and deploy software into production in government environments.

  • Build data pipelines and manage the full data lifecycle.

Required For This Opportunity

  • Bachelor's Degree in Computer Science (or closely related degree).

  • At least 3 years of experience in Software Development, Machine Learning, and/or AI Engineering.

  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.), Kubernetes, Postgres, and Docker.

  • Must have a strong Python background.

  • Must have a proven track record of building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.

  • Must have an Active Secret Clearance.

Nice to Have Skills

  • A certification in Data Science, AI, or another related certification is preferred, but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $100,000-$150,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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