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Ml Engineer Jobs in Silver Spring, MD (NOW HIRING)

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

Our AI/ML Engineer is the core mission specialist who develops, implements, and deploys innovative AI/ML and LLM-enabled capabilities to solve mission-critical problems. This role combines deep model ...

Node.Digital

AI/ML Engineer

Arlington, VA

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

Node.Digital

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

Node.Digital

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

They are seeking AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale, collaborating with software and DevOps teams for integration and monitoring ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

They are seeking an experienced AI/ML Engineer to develop and implement AI/ML capabilities for mission-critical problems, focusing on model training and deployment. The role involves collaborating ...

System One Holdings, LLC

AI/ML Engineer

Mclean, VA · On-site

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

ManTech

AL/ML Engineer

Arlington, VA · Remote

$104K - $172K/yr

MANTECH seeks a motivated, career and customer-oriented AI/ML Engineer to join our team. On-Site at the Pentagon. Join a dynamic and diverse team at an industry-leading organization where our ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

PingWind is focused on delivering outstanding services to the federal government, and they are seeking an AI/ML Engineer responsible for architecting, implementing, and governing advanced AI and ...

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Showing results 1-20

All JobsMl Engineer JobsMl Engineer Jobs in Silver Spring, MD

Ml Engineer information

See Silver Spring, MD salary details

$34.1K

$92.2K

$146.8K

How much do ml engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ml engineer in Silver Spring, MD is $92,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $112,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge technology environments.

What does an ML engineer do?

An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.

What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are ML Engineers?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges Machine Learning Engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

Are ML engineers still in demand?

Yes, ML engineers are in high demand due to the growing adoption of machine learning and AI across industries. They are sought after for their skills in data modeling, programming, and tools like TensorFlow and PyTorch, with job opportunities expected to remain strong as organizations continue to leverage AI technologies.
What job categories do people searching Ml Engineer jobs in Silver Spring, MD look for? The top searched job categories for Ml Engineer jobs in Silver Spring, MD are:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $92,196 per year, or $44.3 per hour.
ML Engineer

ML Engineer

Indotronix International Corporation

Mclean, VA • On-site

Contractor

Posted 13 days ago

Job description

ML Engineer | McLean, Virginia, United States Senior Machine Learning Engineer - McLean, VA (Hybrid, 12+ Month Contract) About the Role Join a high-impact Machine Learning Engineering team at a leading financial services organization, driving production ML systems for critical platforms such as credit decisioning, fraud detection, and risk assessment. As a Senior Machine Learning Engineer, you will partner with cross-functional teams to develop, scale, and optimize cloud-native ML solutions. This is an opportunity to shape enterprise-scale AI platforms, influence engineering standards, and work with the latest cloud and MLOps technologies. Responsibilities - Design, develop, and deploy production-grade machine learning solutions on AWS - Build and maintain scalable ML pipelines for model training, validation, deployment, and monitoring - Collaborate with Data Scientists to operationalize advanced ML models - Develop and optimize cloud-native infrastructure to support enterprise ML workloads - Implement best practices across the ML lifecycle, including testing, CI/CD, governance, and monitoring - Support and enhance platforms powering credit decisioning, fraud detection, risk assessment, and partner programs - Contribute to the evolution of ML platform capabilities and engineering standards Required Skills and Experience - 5+ years in Machine Learning Engineering, Software Engineering, or related fields - Proficiency in Python (Spark, Pandas, NumPy) - Deep expertise in AWS (ECS, EC2, EKS, S3), cloud-native architectures - Strong understanding of MLOps principles and production ML deployment - Experience with distributed data processing (Apache Spark) - Solid software engineering fundamentals: version control, testing, CI/CD practices - Hybrid on-site work in McLean, VA (Tuesday-Thursday) Preferred Skills - Experience with Databricks and modern analytics platforms - Strong SQL and data analysis background - End-to-end ML platform development - Familiarity with feature stores, model monitoring, and ML observability - AWS Solutions Architect or similar certifications - Hands-on with Kubernetes, Kubeflow, workflow orchestration tools - Exposure to Generative AI, LLM deployment, or AI platform engineering Benefits - Work on mission-critical AI platforms at enterprise scale - Collaborative, cross-functional team environment - Opportunity to drive innovation in financial services ML applications - Professional growth with exposure to the latest cloud, MLOps, and AI technologies - Competitive compensation on a long-term contract How to Apply If you're passionate about building and scaling production ML systems, and want to make an impact in financial services, apply now with your updated resume.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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