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Machine Learning Engineer Part Time Jobs in Saint Louis, MO

Faculty - HVAC

Bridgeton, MO · On-site

$23.75 - $30/hr

Engaging students in a variety of learning environments, developing interactive course content, and ... Bachelor's degree in Mechanical Engineering, Manufacturing/Machining or related field. Working ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Nurse Extern I

O Fallon, IL · On-site

$18 - $25.20/hr

PRN, part time or full time. Days, Nights or Rotating shift. Facility: St. Elizabeth's Hospital ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

PRN, part time or full time. Days, Nights or Rotating shift. Facility: St. Elizabeth's Hospital ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Travel to customer sites to replace hydraulic assemblies on dialysis machines. * Complete required ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

CT Technologist - Weekend Only

O Fallon, IL · On-site

$31.03 - $46.54/hr

Weekend Program, Part time, 12-hour shifts each weekend (Saturday and Sunday), 10:00 a.m. - 10:00 p ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Showing results 21-40

Machine Learning Engineer Part Time information

See Saint Louis, MO salary details

$30.6K

$125.2K

$188.1K

How much do machine learning engineer part time jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer part time in Saint Louis, MO is $125,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

How do part-time machine learning engineers typically balance project ownership with limited working hours?

Part-time Machine Learning Engineers often focus on well-defined project segments, collaborating closely with full-time team members to ensure alignment and continuity. Clear communication, thorough documentation, and regular check-ins are key to maintaining progress and integrating their contributions seamlessly. While they may not own entire projects, they often take responsibility for specific modules, models, or experiments, and their schedules are usually coordinated to overlap with team meetings or sprints. This structure allows part-time engineers to add significant value while maintaining a manageable workload.

What is the difference between Machine Learning Engineer Part Time vs Data Scientist Part Time?

AspectMachine Learning Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labs; project-basedBusiness, finance, healthcare; data analysis and reporting
Employer & Industry UsageTech firms, AI startups, R&D departmentsCorporate sectors, consulting firms, research institutions

Machine Learning Engineer Part Time focuses on developing and deploying ML models, while Data Scientist Part Time emphasizes analyzing data to extract insights. Both roles often require similar educational backgrounds and may work in overlapping industries, but their core responsibilities differ. Understanding these distinctions helps job seekers target the right position based on their skills and career goals.

What are the key skills and qualifications needed to thrive as a machine learning engineer part time?

To thrive as a Machine Learning Engineer Part Time, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and ideally a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud platforms, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills for collaborating on projects and conveying technical concepts. These skills ensure effective development, deployment, and optimization of machine learning models within the constraints of a part-time role.

What is a machine learning engineer part time?

A Machine Learning Engineer (Part Time) is a professional who designs, builds, and implements machine learning models and algorithms, but works fewer hours than a full-time employee—often on a flexible or project-based schedule. These engineers collaborate with data scientists and software developers to integrate intelligent systems into products or services. Part-time roles are ideal for those seeking work-life balance, students, or professionals supplementing their income. Responsibilities may include data preprocessing, model training, and deployment, but the scope is typically tailored to fit part-time hours.
What are the most commonly searched types of Machine Learning Engineer jobs in Saint Louis, MO? The most popular types of Machine Learning Engineer jobs in Saint Louis, MO are:

Registered Nurse (RN), Emergency Room, Part Time

Hshs

O Fallon, IL • On-site

$32 - $48/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Pay Range:

$32.00 - $48.00

A successful candidate's actual pay rate will be based on several factors including relevant experience, skills, training, certifications and education.

Hospital Sisters Health System (HSHS) is seeking a Registered Nurse (RN) to join our Emergency Department. Ideal candidates are patient focused, mission driven caregivers looking for an opportunity to apply clinical knowledge to coordinate and perform hands on acute patient care at the bedside.
Position Specifics:
oDepartment: Emergency Department
oCore Function: Nursing
oSchedule: Part Time, Nights, 24 hrs/week, Weekend Option
oFacility: St. Elizabeth's Hospital
oLocation: O'Fallon, IL


Education Qualifications

  • Graduate from an accredited and approved school of nursing accepted for licensure in the state of practice is required.
  • Bachelor's of science in nursing is preferred.

Experience Qualifications

  • Critical Care Nursing experience is preferred.

Certifications, Licenses and Registrations

  • Licensed Registered Nurse (RN) in state of practice is required. Wisconsin: RNs may practice with a valid multi-state RN license as outlined in the Nurse Licensure Compact rules.
  • Basic Life Support (BLS) is required.
  • Advanced Cardiac Life Support (ACLS), Pediatric Advanced Life Support (PALS), and Neonatal Resuscitation Program (NRP) are required based on the patient population in the specialty area worked.
  • Specialty certifications based on patient population such as Critical Care Registered Nurse (CCRN), and Certified Emergency Nurse (CEN) are preferred.

Job Description

Scheduled Weekly Hours:

24

Throughout communities in Illinois and Wisconsin, 13 hospitals, numerous community-based health centers and clinics, our 13,000+ colleagues have built a culture based on our solid core values of respect, care, competence, and joy. These are the ideals we believe in, work by, and live each day.

Built upon more than 145 years of service to the communities we serve, we now look to the future and our place in it as a health care system that strives to continually improve processes, procedures, and outcomes with the latest and most advanced technologies and treatments.

Regardless of how far our passion for excellence carries us, our focus will always remain on the most important person in our entire organization: The patient.

Benefits: HSHS provides a benefits package designed to support the overall well-being of our colleagues including their physical, emotional, financial, spiritual, and work health. Colleagues budgeted to work at least 32 hours per pay period are eligible for HSHS benefits.

  • Comprehensive and affordable health coverage includes medical, prescription, dental and vision coverage for full-time and part-time colleagues.

  • Paid Time Off (PTO) combines vacation, sick, and personal days into one balance to allow you the flexibility to use your time off as you need.

  • Retirement benefits including HSHS
    contributions.

  • Education Assistance benefits include up to $5,250 of educational assistance each calendar year and tuition discounts to select colleges with no waiting period.

  • Adoption Assistance provides financial support up to $7,500 for colleagues growing their families through adoption to reimburse application and legal fees, transportation, and more!

  • Other benefits include: Wellness program with incentives, employer-paid life insurance and short-term and long-term disability coverage, flexible spending accounts, employee assistance program, ID theft coverage, colleague rewards and recognition program, discount program, and more!

Benefits

HSHS and affiliates is an Equal Opportunity Employer (EOE).

HSHS is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process

Hospital Sisters may use automated tools, including artificial intelligence or machine-learning technologies, to assist with certain administrative aspects of the recruitment process. These tools may help our recruiting team organize applications, search for resumes, identify qualifications reflected in application materials, and facilitate communications or scheduling with applicants.

Information used by these tools may include materials you provide during the application process, such as your resume, work history, education, qualifications, and responses to application questions.

These tools are used only to support our recruiting process. Hiring decisions are made by HSHS personnel, and automated tools do not make employment decisions on behalf of HSHS.

Applicants who have questions about this notice or who require a reasonable accommodation or alternative evaluation method may contact HSHS Human Resources at Contact@hshs.org