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Machine Manager Jobs in Washington (NOW HIRING)

Machine Learning Engineer II

Centreville, VA · On-site

$102K - $155K/yr

Managing available resources such as hardware, data, and personnel so that deadlines are met ... Run machine learning tests and experiments * Works on problems of moderate scope where analysis of ...

Machine Learning Engineer

Chantilly, VA · On-site

$120 - $180/hr

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

New

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.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... management. Desired: * Experience with reviewing A.I. system architectures and data flows to ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... management. Desired: * Experience with reviewing A.I. system architectures and data flows to ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... management. Desired: * Experience with reviewing A.I. system architectures and data flows to ...

Machine Operator (Night Shift) Architectural Products Group Crofton, Maryland, United States Job ID ... Please complete your online profile and it will be sent to the hiring manager. Our system allows ...

Machine Learning Engineer

Washington, DC · On-site

$100 - $150/hr

Project Summary AIS is seeking a Machine Learning Engineer for an AI Engineering contract ... Build data pipelines and manage the full data lifecycle. Required For This Opportunity * Bachelor ...

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Showing results 41-60

Machine Manager information

What is the difference between Machine Manager vs Equipment Supervisor?

AspectMachine ManagerEquipment Supervisor
CredentialsTypically requires technical certifications or experience in machinery operation and maintenanceOften requires similar technical certifications, with additional supervisory or leadership training
Work EnvironmentWorks directly with machinery, overseeing machine performance and maintenanceSupervises equipment staff, manages maintenance schedules, and ensures operational efficiency
Industry UsageCommon in manufacturing, production, and industrial settingsFound in manufacturing, construction, and industrial sectors

The Machine Manager focuses on overseeing the operation and maintenance of machinery, ensuring optimal performance. The Equipment Supervisor manages staff and schedules related to equipment, emphasizing team coordination and operational efficiency. Both roles require technical knowledge, but their primary responsibilities differ in scope and focus.

What are some common challenges faced by a machine manager and how can they be addressed?

Machine Managers often encounter challenges such as equipment downtime, coordinating maintenance schedules, and ensuring optimal productivity from both machines and operators. To address these, proactive maintenance planning, regular training for team members, and clear communication with other departments are essential. Building a strong rapport with maintenance and engineering teams can help quickly resolve technical issues and keep production running smoothly.

What does a machine manager do?

A Machine Manager oversees the operation, maintenance, and performance of machinery within an industrial or manufacturing setting. They are responsible for ensuring machines run efficiently, scheduling regular maintenance, troubleshooting technical issues, and supervising machine operators. Additionally, Machine Managers often monitor production output, enforce safety standards, and work to optimize processes to reduce downtime and improve productivity. Their role is crucial in maintaining smooth operations and meeting production goals.

What are the key skills and qualifications needed to thrive as a machine manager, and why are they important?

To thrive as a Machine Manager, you need a solid background in mechanical engineering, production processes, and equipment maintenance, typically supported by relevant technical training or a degree. Familiarity with manufacturing software (such as ERP/MES systems), maintenance management tools, and safety certifications like OSHA are usually required. Strong leadership, problem-solving, and effective communication skills help a Machine Manager lead teams and coordinate with other departments. These competencies ensure optimal machine performance, reduced downtime, and a safe, efficient production environment.
What are the most commonly searched types of Machine jobs in Washington? The most popular types of Machine jobs in Washington are:
Infographic showing various Machine Manager job openings in Washington as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

Elder Research

Chantilly, VA

Full-time

Posted 14 days ago


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.