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Machine Learning Flexible Hours Jobs (NOW HIRING)

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Strong problem-solving skills and a willingness to be flexible and learn new concepts and ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Strong problem-solving skills and a willingness to be flexible and learn new concepts and ...

TwinThread

Machine Learning Engineer

Charlottesville, VA · On-site

$90 - $120/hr

Your responsibility will be to develop our pipeline for generic statistics and machine learning ... Flexible schedule * Regular team lunches * Latest Macbook Pro, any other productivity-boosting ...

New

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

ExaCare Inc

Machine Learning Engineer

Manhattan, NY · On-site

$100 - $130/hr

Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... Flexible PTO, take what you need * Medical, dental, and vision coverage * Great startup culture ...

New

Winixx

Machine Learning Engineer

Atlanta, GA · On-site

$130 - $185/hr

Openings › Software › Machine Learning Engineer Software Machine Learning Engineer Atlanta, US ... Hybrid work environment with flexible scheduling * Career growth opportunities across 30+ SaaS ...

New

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Flexible vacation policy * Equity ITAR Requirements To conform to U.S. Government space technology ...

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All JobsMachine Learning Hours JobsMachine Learning Flexible Hours Jobs

Machine Learning Flexible Hours information

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$25.5K

$42.6K

$88K

How much do machine learning flexible hours jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning flexible hours in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

What are the key skills and qualifications needed to thrive as a machine learning engineer with flexible hours?

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a machine learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.
More about Machine Learning Flexible Hours jobs
What cities are hiring for Machine Learning Flexible Hours jobs? Cities with the most Machine Learning Flexible Hours job openings:
What states have the most Machine Learning Flexible Hours jobs? States with the most job openings for Machine Learning Flexible Hours jobs include:
What job categories do people searching Machine Learning Flexible Hours jobs look for? The top searched job categories for Machine Learning Flexible Hours jobs are:
Machine Learning Flexible Hours jobs near you
Infographic showing various Machine Learning Flexible Hours job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 25% Part Time, 1% Temporary, and 11% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Vadum, Inc.

Raleigh, NC • On-site

$96K - $137K/yr

Full-time

Re-posted 21 days ago

Job description

Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.
We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts.
Key Responsibilities:
  • Design, prototype, and implement machine learning algorithms using industry-standard frameworks.
  • Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms.
  • Collaborate with other ML and software engineers to produce software/data deliverables. This may include algorithm/software design documents and end user guides as well as government systems integration.
  • Participate in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.
  • May be a major contributor in determining solution concepts for project proposals.
  • Generate content for status meetings with customers as a senior technical contributor.
  • Research state-of-the-art methods to solve difficult and/or complex problems.
  • Responsibly and respectfully interact with customers and suppliers to ensure customer satisfaction and project alignment.
  • Perform other duties as assigned, within the scope of the position.

Requirements
Required Skills and Qualifications:
  • Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required.
  • 5+ years of relevant work experience.
  • Must possess a government security clearance or the ability to obtain and maintain.
  • Experience in programming languages (Python, C/C++, MATLAB, etc.).
  • Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.).
  • Experience with Windows and/or Linux.
  • Experience with some of the software tools such as Docker, Jenkins, Git, Gerrit, Hibernate, and Kubernetes is a plus.
  • Familiarity with streaming data processing frameworks such as Kafka/Spark/Hadoop is a plus.
  • Detail oriented and well-organized with a strong ability to prioritize, plan, and execute tasks.
  • Highly skilled in written and verbal communications.
  • Strong problem-solving skills and a willingness to be flexible and learn new concepts and technologies on the job.
  • Ability to pivot quickly and seamlessly as projects and business needs dictate.
  • Ability to work effectively and comfortably with multidisciplinary teams of engineers and support staff.
  • Ability to perform independent research and evaluate the state-of-the-art.

Join our innovative team where continuous learning and professional growth are encouraged. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.
Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need assistance or an accommodation due to a disability, you may contact the HR Manager at (919) 341-8241 ext.: 180.
Salary Description
Salary Range: $96,000 to $137,000/annually (DOE)

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