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Overnight Remote Machine Learning Jobs in Virginia, IL

Senior Software Developer

Virginia, IL · On-site +1

$53.50 - $70.50/hr

... wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Note this position is remote US based in EST or CST About The Role AI capabilities at Genesys power ... Familiarity with machine learning and MLOps concepts, including model lifecycle management, data ...

Territory Manager, MEP - Remote/Field Based Come build your career. It takes great people to ... Have access to a wealth of learning resources, including our digital learning portal. Belong:

Overnight Remote Machine Learning information

What is an overnight remote machine learning job?

Overnight Remote Machine Learning jobs are positions where professionals work on machine learning tasks outside of traditional office hours, typically during the night, and do so from a remote location. These roles may involve building models, analyzing data, or maintaining machine learning systems while collaborating with teams in different time zones or providing 24/7 support. Overnight shifts can be critical for companies with global operations or those that require continuous system monitoring. Working remotely allows for flexibility and access to a wider talent pool. These positions often require strong programming and analytical skills, as well as the ability to work independently with minimal supervision.

What are the key skills and qualifications needed to thrive as an overnight remote machine learning engineer?

To thrive as an Overnight Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid background in statistics and algorithms, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with cloud platforms like AWS or GCP, and knowledge of version control systems are typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote and overnight work schedules. These competencies ensure that you can efficiently develop, deploy, and monitor machine learning models independently while collaborating across time zones.

What are some common challenges faced by overnight remote machine learning professionals, and how can they be addressed?

Overnight remote machine learning professionals often encounter challenges like coordinating with daytime teams across different time zones, maintaining effective communication, and managing alertness during non-traditional hours. To address these, it's helpful to establish clear communication protocols, use collaboration tools for asynchronous updates, and set a structured sleep and work routine to ensure productivity. Additionally, leveraging automated monitoring and robust documentation helps in managing handoffs and reducing errors during shift changes.

What is the difference between Overnight Remote Machine Learning vs Data Scientist?

AspectOvernight Remote Machine LearningData Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, TensorFlowBachelor's or higher in CS, Statistics, or related fields; advanced degrees common
Work EnvironmentRemote, overnight shifts, focused on model deployment and data pipelinesOffice or remote, standard hours, focused on data analysis and model development
Industry UsageTech, finance, healthcare companies with 24/7 operationsResearch, tech, consulting firms, often with flexible hours

Overnight Remote Machine Learning roles typically focus on deploying models and maintaining data pipelines during overnight hours, often requiring specific certifications and remote work setups. Data Scientists usually work during regular hours, concentrating on data analysis, model development, and research. Both roles are vital in tech-driven industries but differ mainly in work hours, environment, and focus areas.

What cities near Virginia, IL are hiring for Overnight Remote Machine Learning jobs?

Cities near Virginia, IL with the most Overnight Remote Machine Learning job openings:

Infographic showing various Overnight Remote Machine Learning job openings in Virginia, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Software Developer

GRVTY

Virginia, IL • On-site, Remote

$53.50 - $70.50/hr

Full-time

Re-posted 19 days ago


Job description

What Impact You'll Have

GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning

GRVTY is seeking a Senior Software Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Tysons, VA. The developer, with a minimum of 10 years' experience,  will support the full lifecycle development (analyze, design, develop, deploy, maintain) of innovative and interactive web, video and multimedia training products. The individual will be responsible for product research, programming/authoring, interface design, testing and quality control. Products also include web-based training, SharePoint and websites, multimedia applications, video productions, graphic design, and print products.

The ideal candidate requires demonstrated experience with:

  • Linux
  • Amazon cloud, AWS and use services, like S3 and EC2
  • Apache Webserver and Apache Tomcat
  • Development languages: Java, PHP, HTML, CSS, MySQL and Javascript
  • VS Code
  • Configuring, implementing, and maintaining the Enterprise Application Auditing Tool, Enterprise Application MFA Solution (OAuth), and RBAC (Role Based Access Control)
  • Bash Scripting
  • Developing and supporting automation and orchestration processes for IAM services. Understanding of IAM governance frameworks, platforms, RBAC, group policy management, and privileged access management (PAM) tolls.

What You Must Have

  • Active TS/SCI with Polygraph Clearance (applicable to this customer)
  • Ten (10) years of experience executing software development activities
  • A bachelor's degree in Computer Science, Computer Information Systems, or Computer Engineering
  • Demonstrated expertise with AWS infrastructure security and access controls
  • Demonstrated expertise adapting equipment and technology to serve user needs and technology design
  • Ability to convey technical information to non-technical individuals to teach navigation of Github, Linux-based OS, and AWS and use services, such as S3 and EC2
  • Demonstrated understanding of software development best practices, including version control, testing, and debugging

What Would Be Nice to Have

  • Demonstrated migration experience from on-premises services to the AWS platform using migration tools
  • Demonstrated experience maintaining JAVA and PHP applications on Windows
  • Demonstrated experience with maven or Gradle
  • Demonstrated experience with AWS Secrets Manager
  • Three years of experience contributing to software development activities and or projects within the IC 

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