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Machine Learning Engineer Associate Jobs in Laurel, MD

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Sr. Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Machine Learning Engineer

Arlington, VA ยท On-site

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Apply Early

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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Machine Learning Engineer Associate information

See Laurel, MD salary details

$41.1K

$81.9K

$130.9K

How much do machine learning engineer associate jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning engineer associate in Laurel, MD is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $94,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are popular job titles related to Machine Learning Engineer Associate jobs in Laurel, MD? For Machine Learning Engineer Associate jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Laurel, MD look for? The top searched job categories for Machine Learning Engineer Associate jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Machine Learning Engineer Associate jobs? Cities near Laurel, MD with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer

Machine Learning Engineer

Applied Information Sciences

Washington, DC โ€ข On-site

$100K - $150K/yr

Full-time

Posted 10 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.