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Senior Machine Learning Scientist Jobs in Washington

Hirekeyz Inc

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 ... Master's Degree in Data Science, Machine Learning, or a related field * Proven experience in a ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

... Senior Machine Learning Engineer to that will focus on researching, designing, training, and ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

STR

Senior Machine Learning Engineer

Arlington, VA

$155K - $195K/yr

... and data science, who are seeking opportunities to use their deep technical knowledge and ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... S government * Enjoys working hard and seeing mission impact * BS degree in Computer Science ...

CoVar

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Senior Machine Learning Engineer Location: McLean, VA (hybrid); occasional travel to Durham, NC and ... S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred. * Clearance:

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... S government * Enjoys working hard and seeing mission impact * BS degree in Computer Science ...

STR

Senior Machine Learning Engineer

Washington, DC · On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... S government * Enjoys working hard and seeing mission impact * BS degree in Computer Science ...

Inovalon, Inc.

Senior Machine Learning Engineer

Bowie, MD · On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience ...

Autodesk

Senior Machine Learning Test Engineer

Washington, DC · On-site +1

$125K - $162K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Bachelor's degree in Computer Science, Engineering, or equivalent experience * 7+ years of ...

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All JobsMachine Learning Scientist JobsSenior Machine Learning Scientist JobsSenior Machine Learning Scientist Jobs in Washington

Senior Machine Learning Scientist information

See Washington salary details

$75.3K

$125.2K

$186.3K

How much do senior machine learning scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior machine learning scientist in Washington is $125,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Scientist vs Data Scientist?

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

What are Senior Machine Learning Scientists?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

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

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges Senior Machine Learning Scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.
What are popular job titles related to Senior Machine Learning Scientist jobs in Washington? For Senior Machine Learning Scientist jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Scientist jobs in Washington look for? The top searched job categories for Senior Machine Learning Scientist jobs in Washington are:
Senior Machine Learning Scientist jobs near you
Infographic showing various Senior Machine Learning Scientist job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,202 per year, or $60.2 per hour.

Sr. Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$118K - $162K/yr

Contractor

Posted 8 days ago

Job description

Role: Sr. Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Clearance: DOD Top Secret Clearance (Must)

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master’s Degree in Data Science, Machine Learning, or a related field
  • Proven experience in a machine learning or AI engineering role
  • Strong proficiency in Python, C++, or Java
  • Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions
  • Experience with data preprocessing, feature engineering, and model selection
  • Knowledge of data structures, algorithms, and software architecture
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders
  • Commitment to writing clean, efficient, and well-tested code
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 3-5 years of experience in a ML/AI development role