Which cities near Washington, DC have the most machine operator job openings?

The cities near Washington, DC that boast the highest number of machine operator jobs are: Kent Tacoma Spokane Seattle Manchester Spokane Valley Renton

Which cities near Washington, DC have the most job openings?

The 10 cities near Washington, DC that have the most job openings are: Kent Bellevue Tacoma Spokane Anchorage Virginia Beach Seattle Manchester Everett Spokane Valley

What are the most popular job searches in Washington, DC?

The 10 most popular job searches in Washington, DC are: amazon work from home government amazon warehouse summer online customer service data entry customer care data entry clerk

What are the highest-paying jobs in Washington, DC?

The highest-paying jobs are: 911 operator ( from $ 82,359 to $ 461,180 year ) hospitalist ( from $ 100,000 to $ 257,063 year ) owner operator ( from $ 58,500 to $ 250,000 year ) associate dentist ( from $ 120,000 to $ 250,000 year ) director of customer service ( from $ 42,324 to $ 250,000 year ) visa sponsorship ( from $ 85,280 to $ 250,000 year ) sound engineer ( from $ 103,200 to $ 245,000 year ) pediatrician ( from $ 75,000 to $ 244,558 year ) medical editor ( from $ 64,625 to $ 238,968 year ) customer service director ( from $ 59,174 to $ 236,550 year )

Which cities in the United States of America offer the highest salaries for machine operator jobs?

The top 10 cities are: Durham, NC ( from $ 31,103 to $ 97,500 year ) Palmdale, CA ( from $ 34,320 to $ 52,406 year ) Milwaukee, WI ( from $ 31,896 to $ 48,750 year ) Seattle, WA ( from $ 37,050 to $ 47,840 year ) Philadelphia, PA ( from $ 29,250 to $ 47,059 year ) Denver, CO ( from $ 35,100 to $ 46,916 year ) Minneapolis, MN ( from $ 34,637 to $ 46,800 year ) Memphis, TN ( from $ 31,200 to $ 46,800 year ) Providence, RI ( from $ 31,200 to $ 46,285 year ) Los Angeles, CA ( from $ 32,516 to $ 45,407 year )

Machine operator Jobs in Washington, DC

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Machine operator • washington dc

Last updated: 4 days ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

Full-time

Quick Apply

Bus Operator

RATP Dev USADistrict Heights, MD, United States

Full-time

Acts as front-line point of contact to ensure delivery of quality customer service.Safely operates several types of buses through light to heavy city and freeway traffic safely and prudently.Passen...Show more

Vending Machine Associate

POP MART Americas Inc.Arlington, Virginia, United States

Part-time

HK), founded in 2010, is a leading global company in the trend culture and entertainment industry.Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP oper...Show more

Communications Operator

Cedar Hill Regional Medical CenterWASHINGTON, Washington, DC

Full-time

Cedar Hill Regional Medical Center – Opening this year!.When open in early 5, Cedar Hill Regional Medical Center GW Health will be the first new full-service hospital in Washington, DC in more than...Show more

Crane Operator

Robertson Contractors IncWashington, DC, United States

Full-time

Unload and set up of all crane types.Perform daily maintenance of cranes and boom.Periodically inspect cranes to ensure safe operation.Safely operate cranes to place components of bridge structures...Show more

Dish Machine Operator

IHOPWashington, DC, US

Full-time

IHOP Dish Machine Operators (DMO) will be responsible for cleaning and maintaining dishware/utensils for the continued smooth operation of the restaurant.IHOP DMOs will also perform assigned sanita...Show more

Bulldozer Operator

Shirley Contracting CompanyAlexandria, VA, United States

Full-time

Shirley prides itself on attracting, developing and retaining the best employees in the industry.We hire ambitious and dedicated professionals to fill positions at all levels of our organization.Ex...Show more

Machine Tool Trainee

TradeJobsWorkforce22214 Arlington, VA, US

Full-time

As a Machinist Trainee, you will be responsible for working within the framework of a team and performing the following activities: Learn the required skills to work within the Pilot Metals Develop...Show more

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States

Full-time

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located...Show more

Cloud Operator

Zachary PiperArlington, VA

Full-time

Zachary Piper Solutions is seeking a talented and experienced Cloud Operator to join our team in support of a long-term Air Force program.As a Cloud Operator, you will be responsible for the instal...Show more

Owner Operator

USA TruckMCLEAN, VA, USA

Full-time

Experienced CDL-A Owner Operator truck drivers can count on USA Truck for outstanding support while running your business your way, letting you decide how and when to work! NEW! Independent Contrac...Show more

Machine Learning Engineer, Data & Machine Learning (DML)

Amazon Web Services, Inc.Arlington, Virginia, USA

Full-time

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.The Amazon Web Services Professional Services (ProServe...Show more

Machine Maintenance Technician

JobotLandover, Maryland, US

Full-time

Industrial Machine Maintenance Technician Opportunity / $30-$40 Per Hour / Full Benefits & Growth Opportunity This Jobot Job is hosted by: Jack Campbell Are you a fit? Easy Apply now by clicking th...Show more

Machine Learning Engineer (GoLang)

Comcast CorporationWashington D.C., District of Columbia, United States

Full-time

Make your mark at Comcast -- a Fortune 30 global media and technology company.From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions...Show more

Machine Learning Engineer - Autonomy Lab

Carnegie Mellon UniversityArlington, VA

Full-time

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) techn...Show more

Live Event & Production Crew Positions - Stagehand/Rigger/Heavy Machine Operator/Scaffolding Climber - DC/NoVa/Baltimore

RockforceWashington, DC, USA

Full-time

Quick Apply

RockForce is the trusted team setting the stage for the greatest moments in live events.With a legacy built on the unification of nine industry leaders, we bring decades of expertise to seamlessly ...Show more

Equipment Operator

Bartley CorpSilver Spring, MD, US

Full-time

Quick Apply

The Bartley Corporation has an immediate opening for an experienced backhoe operator and/or excavation operator (heavy equipment).Selected candidate will work within Bartley's residential excavatio...Show more

Machine Learning & Operations Engineer

OptiTrackArlington, VA, US

Remote

Full-time

Quick Apply

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.OptiTrack i...Show more

Equipment Operator

Perdomo of NY LLCAlexandria, VA, US

Full-time

We are seeking a dynamic and skilled Equipment Operator to join our Demolition team! In this vital role, you will be responsible for operating a variety of heavy machinery and equipment to support ...Show more

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

30+ days ago

Job type

Full-time

Quick Apply

Job description

Pay Rate: $60 - $65/Hour

Overview:

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role. You will architect and implement innovative ML solutions, working closely with data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.

Key Responsibilities:

Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
Engage directly with customers to understand their business problems and help implement tailored ML solutions.
Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.

Preferred Qualifications:

Proven experience in building and deploying machine learning models at scale.
Proficiency with deep learning frameworks like PyTorch and TensorFlow.
Experience with cloud-native machine learning solutions, preferably on AWS.
Experience with Databricks
Experience with Agile Methodology
Strong understanding of MLOps workflows, including model management.
Ability to work independently and collaboratively with cross-functional teams.