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Ml Engineer Jobs in Reston, VA (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

$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 ...

New

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 ...

New

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 ...

New

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Overview AI/ML Engineer McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Overview AI/ML Engineer McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

AI/ML Engineer McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence ...

GeoYeti

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Overview AI/ML Engineer McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

New

GeoYeti

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Overview AI/ML Engineer McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

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 ...

ManTech International

AL/ML Engineer

Arlington, VA · On-site

$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 ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA · On-site

$99K - $225K/yr

As an AI/ML Engineer, you're excited by the rapid evolution of AI and the impact modern LLM technologies can have on real users. You understand that building dependable AI capabilities requires more ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: As an AI/ML Engineer, you're excited by the rapid evolution of AI and the impact modern LLM technologies can have on real users. You understand that building ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is an innovative solutions development company that combines agile development services with next ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$99K - $225K/yr

As an AI/ML Engineer, you're excited by the rapid evolution of AI and the impact modern LLM technologies can have on real users. You understand that building dependable AI capabilities requires more ...

Booz Allen Hamilton

AI/ML Engineer

Arlington, VA · On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: As an machine learning engineer, you understand goodsoftware is more than just a good user experience. To compete in today's technical landscape, mission-oriented ...

Booz Allen Hamilton

AI/ML Engineer

Arlington, VA · On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: As an experienced machine learning engineer, you understand goodsoftware is more than just a good user experience. To compete in today's technical landscape, mission ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI ...

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Showing results 1-20

All JobsMl Engineer JobsMl Engineer Jobs in Reston, VA

Ml Engineer information

See Reston, VA salary details

$34.3K

$92.8K

$147.7K

How much do ml engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for ml engineer in Reston, VA is $92,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $113,400.00 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 are popular job titles related to Ml Engineer jobs in Reston, VA? For Ml Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Reston, VA look for? The top searched job categories for Ml Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Ml Engineer jobs? Cities near Reston, VA with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,782 per year, or $44.6 per hour.
AI/ML ENGINEER

AI/ML ENGINEER

BTree Solutions, Inc.

Reston, VA • On-site

Contractor

Re-posted 21 days ago

Job description

Job Title: 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 development and optimization of AI solutions. This role is ideal for someone who thrives at the intersection of machine learning, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies.
Key Responsibilities
  • Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.
  • Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
  • Optimize and adapt prompt engineering strategies to improve model performance and relevance.
  • Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
  • Build and maintain scalable data pipelines and APIs to support ML workflows.
  • Monitor model performance and iterate based on feedback and metrics.
  • Stay current with advancements in AI/ML and cloud technologies to ensure our solutions remain cutting-edge.

Required Qualifications
  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
  • 3+ years of experience in machine learning, data science, or AI engineering.
  • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
  • Strong programming skills in data analytics related languages and libraries, such as Python, R, Pandas, or JavaScript.
  • Experience with AWS SageMaker for model development and model deployment.
  • Understanding of quantitative/statistical/ML/AI modeling methodologies.
  • Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
  • Experience with developing and deploying AI Agents for business problems.

Preferred Qualifications
  • Experience with fine-tuning or customizing foundation models.
  • Knowledge of data privacy and security best practices in cloud environments.
  • Familiarity with containerization (Docker) and container orchestration is a plus.

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