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Flex Machine Operator Jobs in Washington (NOW HIRING)

GDIT

Data Scientist - TS/SCI w/Poly

Mclean, VA

$212K - $287K/yr

Create and maintain custody of production machine learning models across a variety of tasks ... Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and ...

Capital One

Manager, Data Scientist

Mclean, VA

... machine learning technologies and operating across billions of customer records to unlock the big ... Flex your interpersonal skills to present how model risks could impact the business to executives

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Showing results 21-40

All JobsMachine Operator JobsFlex Machine Operator JobsFlex Machine Operator Jobs in Washington

Flex Machine Operator information

See Washington salary details

$13

$20

$26

How much do flex machine operator jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for flex machine operator in Washington is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $22.07 per hour, depending on experience, location, and employer.

What is the difference between Flex Machine Operator vs CNC Machine Operator?

AspectFlex Machine OperatorCNC Machine Operator
CredentialsHigh school diploma, on-the-job trainingHigh school diploma, technical certification often preferred
Work EnvironmentManufacturing floors, flexible machinery setupsManufacturing floors, computer-controlled machines
Industry UsageFlexible manufacturing, custom productionPrecision parts, automated production
Common Search/ComparisonFlex Machine Operator vs CNC Machine Operator

The Flex Machine Operator and CNC Machine Operator roles both work in manufacturing environments, often requiring similar certifications and working with machinery. The main difference lies in the type of equipment: Flex Machine Operators handle flexible, manual, or semi-automated machinery, while CNC Machine Operators work with computer-controlled machines for precision tasks. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

What are some common challenges flex machine operators face on the job, and how can they be overcome?

Flex Machine Operators often encounter challenges related to machine setup, troubleshooting technical issues, and maintaining consistent product quality. Operators must pay close attention to detail to quickly identify and correct errors, and may need to adapt to frequent production changes or tight deadlines. Building strong communication with maintenance teams and supervisors, as well as staying proactive with preventive maintenance and continuous training, can help address these challenges and ensure smooth operations.

What is a flex machine operator?

A flex machine operator is a worker responsible for operating flexible manufacturing equipment that can perform multiple functions, such as cutting, shaping, or assembling materials. They typically need to understand machine setup, safety procedures, and may require certifications or training in machinery operation. The role often involves working in manufacturing or production environments with a focus on efficiency and quality control.

What are the key skills and qualifications needed to thrive as a flex machine operator?

To thrive as a Flex Machine Operator, you need mechanical aptitude, attention to detail, and experience in machine operation, often supported by a high school diploma or technical training. Familiarity with flexographic printing presses, quality control systems, and safety protocols is typically required. Strong problem-solving skills, effective communication, and reliability help operators excel in this fast-paced environment. These skills are crucial for maintaining production efficiency, ensuring product quality, and minimizing downtime in manufacturing operations.
What are the most commonly searched types of Machine Operator jobs in Washington? The most popular types of Machine Operator jobs in Washington are:
What are popular job titles related to Flex Machine Operator jobs in Washington? For Flex Machine Operator jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Flex Machine Operator jobs in Washington look for? The top searched job categories for Flex Machine Operator jobs in Washington are:
What cities in Washington are hiring for Flex Machine Operator jobs? Cities in Washington with the most Flex Machine Operator job openings:
Flex Machine Operator jobs near you
Infographic showing various Flex Machine Operator job openings in Washington as of June 2026, with employment types broken down into 44% Full Time, 55% Part Time, and 1% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $42,842 per year, or $20.6 per hour.

Data Scientist - TS/SCI w/Poly

GDIT

Mclean, VA

$212K - $287K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Engineering, Data Science, Oracle, Structured Query Language (SQL)

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job Description:

The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT

  • Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks

  • Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements

  • Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making

  • Improve data architecture decisions with data engineers to better stage data for continuous training models in production

  • Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

REQUIRED TECHNICAL SKILLS

  • Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing

  • Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes

  • Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis)

  • Demonstrated experience with GPU processing

  • Demonstrated experience applying machine learning methodologies to build high-quality prediction models

  • Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

  • Familiar with database methodologies

  • Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

  • Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

  • Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

WHAT YOU'LL NEED TO SUCCEED:

  • 10+ years of related data science/statistical experience and 2+ years of software engineering or data engineering experience

  • Bachelor's or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 additional years job-related experience

  • TS/SCI with Polygraph clearance

  • Excellent organizational, coordination, interpersonal and team building skills

  • Location: At Customer Site - near Tyson Corner

GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays

#OpportunityOwned

#GDITCareers

#WeAreGDIT

#GDITPolyEvent

#JET

#GDITEnhanced2025

The likely salary range for this position is $212,500 - $287,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA McLean

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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