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

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... developing & managing API endpoints (Rest and FastAPI) Familiarity with developing agenticAI ...

Mixpeek

Machine Learning Engineer

Washington, DC · On-site

$180 - $240/hr

The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM ... Familiarity with infrastructure management (Docker, Kubernetes, AWS). * Exposure to encryption ...

New

Crowe LLP

Machine Learning Intern

Washington, DC · On-site

$27 - $42/hr

... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...

Crowe LLP

Machine Learning Intern

Washington, DC · On-site

$27 - $42/hr

... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Washington, DC

Machine Learning Manager information

See Washington, DC salary details

$57.8K

$92.5K

$133.6K

How much do machine learning manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning manager in Washington, DC is $92,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $104,800.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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:

What are popular job titles related to Machine Learning Manager jobs in Washington, DC?

For Machine Learning Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Washington, DC look for?

The top searched job categories for Machine Learning Manager jobs in Washington, DC are:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Washington, DC as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $92,543 per year, or $44.5 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

$140 - $190/hr

Other

Posted 25 days ago

Job description

Career Opportunities with Elder Research

A great place to work.

Careers At Elder Research

Current job opportunities are posted here as they become available.

Security Clearance Required - TS/SCI + CI Poly Remote Type N/A Time Type Full time Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team in Chantilly, VA.

Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.

Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.

Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.

Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.

Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.

Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.

Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.

Minimum Qualifications:

Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.

Minimum 3 years of experience with a Bachelor's degree

Proficiency in Python and SQL

Familiarity with developing & managing API endpoints (Rest and FastAPI)

Familiarity with developing agenticAI workflows/systems

Langchain, LangGraph, OpenAI Agents, Pydontic

UVicorn (webserver)

Preferred Qualifications:

Familiarity with Multi-agent orchestration

Familiarity with Cybersecurity (Mandiant)

Experience with Graph Analysis

Security Plus

Clearance Requirements:
  • Must have an active TS/SCI + Poly
Physical Requirements:
  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, & or virtual communication, which may involve delivering presentations.

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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