1

Weekend Machine Learning Jobs in Sacramento, CA (NOW HIRING)

Journeyman Laborer (union)

Sacramento, CA · On-site

$17 - $21.25/hr

Travel to job sites as required, including out-of-town assignments, night shifts, and weekend work ... AI"), machine learning technologies, and/or automated decision-making tools to assist in certain ...

Understanding in state-of-the-art machine learning and deep learning algorithms, techniques and best practices, Expertise in Deep Learning Frameworks: TensorFlow, PyTorch. Job Type:Experienced Hire ...

New

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

The Applied AI Engineer evaluates large language models, agent design patterns, and traditional machine learning approaches, choosing the right tool for each problem and leads governance of AI agents ...

... Machine Learning (AI/ML) for providing deeper insights, predictive analytics, and automated decision-making capabilities. Furthermore, it is expected to drastically accelerate the development and ...

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

... machine learning solutions The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets ...

Databricks Data Engineering Manager

Sacramento, CA · On-site

$122K - $146K/yr

Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred * Exceptional communication and stakeholder management abilities ...

PhD in Data Science, Machine Learning, Applied Math or equivalent field. * 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred). * Expert ...

New

Retail Sales Associate

Elk Grove, CA · On-site

$16.90 - $22/hr

Become an expert in our product and services through active self-led learning and company driven ... Schedule includes weekends, some evenings, holiday work, inventory and other busy times. * Able to ...

Custodian

Roseville, CA · On-site

$15 - $19.25/hr

The ideal candidate takes pride in maintaining facilities that support learning and community ... Operate custodial equipment and machinery, including scrubbers, buffers, and waxers. * Use cleaning ...

Showing results 21-40

Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Sacramento, CA?

The most popular types of Machine Learning jobs in Sacramento, CA are:

What are popular job titles related to Weekend Machine Learning jobs in Sacramento, CA?

For Weekend Machine Learning jobs in Sacramento, CA, the most frequently searched job titles are:

What job categories do people searching Weekend Machine Learning jobs in Sacramento, CA look for?

The top searched job categories for Weekend Machine Learning jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Weekend Machine Learning jobs?

Cities near Sacramento, CA with the most Weekend Machine Learning job openings:

Infographic showing various Weekend Machine Learning job openings in Sacramento, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Artificial Intelligence Governance

Sutter Health

Sacramento, CA • On-site

$177K - $266K/yr

Full-time

Re-posted 7 days ago


Key responsibilities

  • Leads Sutter Health's AI governance program, including setting the target operating model, policy framework, and program priorities.

  • Operates the AI governance program directly alongside a team of analysts, leading high-complexity reviews, drafting policies and standards, and making day-to-day prioritization decisions.

  • Convenes and aligns diverse stakeholder groups and partners with data science and AI leadership to integrate governance requirements across the model development and monitoring lifecycle.


Sutter Health rating

8.3

Company rating: 8.3 out of 10

Based on 330 frontline employees who took The Breakroom Quiz

39th of 898 rated healthcare providers


Job description

We are so glad you are interested in joining Sutter Health!
Organization:
SHSO-Sutter Health System Office-Valley
Position Overview:
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them - leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Job Description:
****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the office on a consistent basis to support team collaboration and business needs.****
EDUCATION:
Equivalent experience will be accepted in lieu of the required degree or diploma.
  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.

TYPICAL EXPERIENCE:
  • 5 recent relevant experience

SKILLS AND KNOWLEDGE:
  • Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
  • Experience leading or coordinating cross-functional governance, risk, or compliance programs.
  • Direct experience supporting AI/ML or advanced analytics programs.
  • Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
  • Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
  • Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
  • Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
  • Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
  • Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
  • Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
  • Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
  • Experience coaching and developing staff in both technical and governance/regulatory domains.

These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift:
Days
Schedule:
Full Time
Days of the Week:
Monday - Friday
Weekend Requirements:
None
Benefits:
Yes
Unions:
No
Position Status:
Exempt
Weekly Hours:
40
Employee Status:
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary. Bay Area - San Francisco Pay Range is $177,632.00 to $266,448.00 / annual salary.
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health's comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

What Sutter Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom