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Machine Manager Jobs in Washington (NOW HIRING)

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 ...

Job Summary Operate machinery as directed while adhering to all rules and regulations mandated by ... Please complete your online profile and it will be sent to the hiring manager. Our system allows ...

Coin Machine Mechanic

Annapolis Junction, MD · On-site

$23.64 - $28.26/hr

BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ... Monitor performance of coin sorters and wrapping machines to ensure accuracy of counts and optimal ...

Coin Machine Mechanic

Annapolis, MD · On-site

$23.64 - $28.26/hr

BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ... Monitor performance of coin sorters and wrapping machines to ensure accuracy of counts and optimal ...

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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 July 2026, with employment types broken down into 80% Full Time, 16% Part Time, 2% Contract, and 2% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.

Requirements • Advanced degree in in computer science, mathematics, physics, statistics. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Experience with cloud computing infrastructure. • Experience with Computer Vision, image processing and video analytics. • Experience with Natural Language Processing/ Natural Language Understanding. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). • Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: • Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. • Knowledge on principles of A.I. Security and Safety. • Experience with Advance Reinforcement Learning Paradigms. • Experience with Speech Recognition. • Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1