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Online Machine Learning Jobs in Washington, DC (NOW HIRING)

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications. This role combines ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0245828 Machine Learning Engineer The Opportunity: As an experience d AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0245170 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

AISquared

Machine Learning Engineer

Washington, DC · On-site

Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0245042 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

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Showing results 41-60

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Washington, DC

Online Machine Learning information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do online machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for online machine learning in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

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

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Washington, DC?

The most popular types of Machine Learning jobs in Washington, DC are:

Online Machine Learning jobs near you
Infographic showing various Online Machine Learning job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Machine Learning Engineer

Booz Allen Hamilton

Arlington, VA • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

Machine Learning Engineer

As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data to support defense technology solutions. You will lead mission‑critical AI initiatives that enable faster mission success, collaborate with data engineers, data scientists, solutions architects, and product owners, and guide clients through AI strategy and solution design.

Responsibilities
  • Own and define the direction of AI solutions for national security use cases.
  • Design, develop, and deploy machine learning models, including deep learning, computer vision, and generative AI.
  • Conduct statistical analyses and model validation on large datasets.
  • Collaborate with cross‑functional teams to deliver world‑class AI solutions.
  • Advise clients on ML algorithms, tools, and frameworks.
Qualifications
  • 2+ years of experience in artificial intelligence, data science, or machine learning engineering, including developing and deploying models.
  • Proficiency in Python and libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Experience coding with Python, C++, Rust, or Java.
  • Hands‑on experience with deep learning, computer vision, or generative AI.
  • Data handling and model development expertise.
  • Ability to solve technical client problems.
  • Secret clearance.
  • Bachelor’s degree.
Preferred
  • Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph.
  • Experience with supervised and unsupervised learning.
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation & Benefits
  • Projected compensation range: $77,600.00 to $176,000.00 annualized USD.
  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
  • Recognition awards program for exceptional performance.
Work Model

Employees may work remotely, in hybrid, or onsite depending on the role. Remote positions may require occasional in‑person work at a Booz Allen or customer facility. Hybrid positions may require frequent onsite presence at a Booz Allen facility and customer visits. Onsite positions are primarily performed at an office or customer location.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable law.

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What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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