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Machine Learning Manager Jobs in Virginia (NOW HIRING)

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with developing & managing API endpoints (Rest and FastAPI) * Familiarity with ...

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...

... 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 ...

Showing results 21-40

Machine Learning Manager information

See Virginia salary details

$50.6K

$81K

$117K

How much do machine learning manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning manager in Virginia is $81,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $91,700.00 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 Virginia?

The most popular types of Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Machine Learning Manager jobs?

Cities in Virginia with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $81,008 per year, or $38.9 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer
General Information
Requisition #728
Locations USA-VA-Chantilly
Posting Date 07/24/2026
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.
Responsibilities include but are not limited to:
  • 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 Javascript, Containerization (Docker/ Rocky Linux)
  • Familiarity with developing & managing API endpoints (Rest and FastAPI)
  • Familiarity with developing agenticAI workflows/systems
    • Langchain, LangGraph, OpenAI Agents, Pydontic
    • UVicorn (webserver)
  • Streamlit (web apps)

Preferred Qualifications:
  • Familiarity with Multi-agent orchestration
  • Familiarity with Cybersecurity (Mandiant)
  • AWS Cloud experience
  • 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, and or virtual communication, which may involve delivering presentations.

About Elder Research, Inc - People Centered. Data Driven
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.