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Ml Data Associate Jobs in Washington (NOW HIRING)

Expert Data Product - Data Lake

Arlington, VA ยท On-site

$140K - $200K/yr

Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred Don't ... We consider our associates our most valuable assets. Please apply for full consideration. The ...

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. * Develop, train, and deploy advanced AI/ML models, including generative AI techniques ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create ... Certified Databricks Data Engineer Associate or Professional is a plus. Skills & Competencies

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. * Develop, train, and deploy advanced AI/ML models, including generative AI techniques ...

OR associate's degree with 8 years of related experience; OR High School diploma/GED with 11 years ... Proven ability to design and implement end-to-end machine learning (ML) pipelines, spanning data ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create ... Certified Databricks Data Engineer Associate or Professional is a plus. Skills & Competencies

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create ... Certified Databricks Data Engineer Associate or Professional is a plus. Skills & Competencies

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

The role combines data engineering, applied data science, and production ML responsibilities and ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

The role combines data engineering, applied data science, and production ML responsibilities and ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Data Scientist

Odenton, MD ยท On-site

$107K - $195K/yr

The work focuses on applying your AI/ML experience to assess large datasets to support development ... An Associate's degree plus 12 years of relevant experience may be considered for individuals with ...

Showing results 41-60

Ml Data Associate information

See Washington salary details

$65.1K

$77.1K

$146.1K

How much do ml data associate jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml data associate in Washington is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What job categories do people searching Ml Data Associate jobs in Washington look for?

The top searched job categories for Ml Data Associate jobs in Washington are:

What cities in Washington are hiring for Ml Data Associate jobs?

Cities in Washington with the most Ml Data Associate job openings:

Infographic showing various Ml Data Associate job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.

ME00648-Data Scientist 4

Momentum Engineering, Inc.

Fort George G Meade, MD โ€ข On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago


Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist with demonstrated experience designing and implementing advanced AI/ML and data science solutions across mission domains
  • The successful candidate will support the MPO customer environment and develop sophisticated Agentic AI, Retrieval Augmented Generation (RAG), and customized machine learning solutions

Primary Responsibilities
  • Design and implement advanced AI/ML and data science solutions
  • Develop Agentic AI systems and customized RAG capabilities
  • Assess, evaluate, and implement appropriate ML models for specific mission needs
  • Train, evaluate, optimize, and deploy machine learning and large language models
  • Tailor AI/ML solutions for operational performance and resource constraints
  • Develop models suitable for low-memory and low-resource edge-device environments
  • Evaluate model performance and recommend improvements
  • Work with mission stakeholders to translate requirements into scalable AI/ML solutions

Required Qualifications
  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master's degree with 9 years of relevant experience, Bachelor's degree with 11 years of relevant experience, Associate's degree with 13 years of in-depth relevant experience that is clearly related to the position
  • Demonstrated experience designing and implementing sophisticated AI/ML solutions
  • Deep knowledge and experience with AI technologies
  • Experience assessing, evaluating, training, and optimizing ML models
  • Experience with Large Language Models (LLMs)
  • Experience with Agentic AI systems
  • Experience implementing RAG capabilities
  • Experience optimizing models for constrained or edge-computing environments
  • Expert Python proficiency

Desired Qualifications
  • No desired qualifications listed at this time

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
170,000 - 220,000 USD per year (Ft. Meade MD)