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Google Cloud Machine Learning Engineer Jobs in Remote, OR

Clevanoo LLC

Be Seen First

Oracle Fusion Consultant

OR · Remote

... o Engineering change and item lifecycle management o Business process analysis and user training ... Cloud. • Understanding of: o Real-time production monitoring o Machine and asset connectivity o ...

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Veeco Instruments, Inc.

Sr. Cybersecurity Engineer

OR · On-site +1

$121K - $153K/yr

From the smartphones in our pockets that access the world's collective knowledge, to the cloud ... We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ...

Veeco Instruments, Inc.

Sr. Cybersecurity Engineer

OR · Remote

From the smartphones in our pockets that access the world's collective knowledge, to the cloud ... We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ...

Syniti

Senior Software Engineer

OR

$114K - $151K/yr

Syniti's cloud-native platform sets new standards in enterprise data management, combining powerful ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

Arista Networks

Economics Intern - Internal Audit

OR · On-site +1

We leverage the latest advancements in cloud computing, artificial intelligence, and software ... Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ...

Avaya

SOC Analyst & Incident Response Lead

OR · On-site +1

Perform malware analysis, reverse engineering, and memory/disk analysis to support incident triage ... Passion for continuous learning and capability development The pay range for this opportunity is ...

Avaya

SOC Analyst & Incident Response Lead

OR · Hybrid

Perform malware analysis, reverse engineering, and memory/disk analysis to support incident triage ... Passion for continuous learning and capability development The pay range for this opportunity is ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Remote, OR

Google Cloud Machine Learning Engineer information

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$87

How much do google cloud machine learning engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for google cloud machine learning engineer in Remote, OR is $62.82, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $71.59 per hour, depending on experience, location, and employer.

What are Google Cloud Machine Learning Engineers?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning Engineer, and why are they important?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning Engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Remote, OR? For Google Cloud Machine Learning Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in Remote, OR look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in Remote, OR are:
Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 90% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,673 per year, or $62.8 per hour.
Sr. Analyst, Network Strategy, Pricing & Analytics

Sr. Analyst, Network Strategy, Pricing & Analytics

Umpqua Health

Roseburg, OR • On-site

$100K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description


SR. ANALYST, NETWORK STRATEGY, PRICING & ANALYTICS 
REMOTE, must be able to travel to 3031 NE STEPHENS ST. ROSEBURG, OR 97470
EMPLOYMENT TYPE: Full-Time, Exempt
About Umpqua Health
At Umpqua Health, we’re more than a healthcare organization—we’re a community-driven Coordinated Care Organization (CCO) dedicated to improving the health and well-being of individuals and families throughout Douglas County, Oregon. We provide integrated, whole-person care through primary care, specialty care, behavioral health services, and care coordination. Our collaborative approach ensures members receive high-quality, personalized care while supporting a stronger, healthier community.
POSITION PURPOSE
The Senior Analyst, Network Strategy, Pricing & Analytics provides advanced financial and data analysis to guide network investment decisions and ensure access to high-quality, cost-effective healthcare services. This role supports Umpqua Health’s mission by developing pricing strategies, evaluating provider contracts, and leveraging value-based care models to improve health outcomes and reduce total cost of care. The position requires expertise in healthcare economics, contract valuation, predictive analytics, and strategic reporting to identify opportunities for cost savings and performance improvement. 
ESSENTIAL JOB RESPONSIBILITIES
  • Conduct analysis of provider performance, utilization trends, and geographic coverage to identify network gaps, inefficiencies, and opportunities for optimization.  
  • Develop and apply predictive models to assess contract risk, forecast financial impact, and evaluate provider behavior under varying reimbursement methodologies.  
  • Interpret contract rates, terms, and coding structures to assess financial implications and support contract negotiation strategies, including chargemaster considerations.  
  • Ensure the integrity and accuracy of integrated claims, provider, and contract data; identify and resolve data quality issues impacting reporting and analysis.  
  • Support compliance with applicable regulatory requirements through data monitoring, audit support, and required reporting.  
  • Design, develop, and maintain dashboards, reports, and data visualizations to effectively communicate insights to internal stakeholders.  
  • Prepare and deliver recurring provider and hospital performance reports utilizing SQL, Excel, and other reporting tools.  
  • Present analytical findings and strategic recommendations to leadership in a clear, concise, and professional manner.  
  • Apply statistical and machine learning methodologies to address complex business challenges, including fraud detection and provider performance trends.  
  • Collaborate with cross-functional teams to align data initiatives with organizational priorities and strategic objectives.  
  • Identify and support process improvements related to data collection, reporting, and analytics functions. 

CHALLENGES

  • Working with a variety of personalities, maintaining a consistent and fair communication style.
  • Satisfying the needs of a fast-paced and challenging company.

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in business, Finance, Mathematics, Economics, Data Science, Actuarial Science, or a related field.  
  • Minimum of five (5) years of experience in analytics, including financial analysis, healthcare pricing, network management, or healthcare economics.  
  • Advanced proficiency in Microsoft Excel and strong working knowledge of SQL.  
  • Experience working with complex data environments, including database management and performance analytics.  
  • Proficiency in at least one programming or analytics language (e.g., Python or R) and experience with data visualization tools (e.g., Tableau or Power BI).  
  • Working knowledge of statistical modeling and analytical methodologies.  
  • Strong written and verbal communication skills, including the ability to present technical information to non-technical audiences.  
  • Demonstrated ability to work independently and collaboratively in a cross-functional environment. 

PREFERRED QUALIFICATIONS

  • Master’s degree in data science, Statistics, Computer Science, Health Informatics, or a related field.  
  • Experience in healthcare, insurance, or network management analytics.  
  • Advanced expertise in statistical modeling, machine learning, and experimental design.  
  • Extensive familiarity with healthcare data sources, including claims, provider data, and contract information. 
SCHEDULE
Monday through Friday - 8:00am - 5:00pm; standard business hours with flexibility to meet service timelines.
SALARY
Wage Band 21: $100,940- $118,605
BENEFITS
  • Salary is dependent on skills, experience, and education
  • Generous benefits package including vacation PTO, sick leave, federal holidays, and birthday leave
  • Medical, dental, and vision insurance
  • 401(k) with company match (fully vested immediately)
  • Company-sponsored life insurance and additional benefits
  • Fitness reimbursement program
  • Tuition reimbursement and more
 
Why Umpqua Health?
We are committed to advancing health equity by collaborating across communities, addressing systemic barriers, and ensuring fair access to care and resources. At Umpqua Health, every team member plays a vital role in making a meaningful impact, empowering healthier lives and strengthening the communities we serve.
Inclusive Culture
We foster a respectful, inclusive environment where employees feel valued, supported, and empowered.
Growth & Development
We support ongoing learning through mentorship, clear career pathways, and professional development opportunities.
Work/Life Balance
We promote flexibility and well-being so employees can thrive both professionally and personally.
 

Equal Opportunity
Umpqua Health is an equal opportunity employer that embraces individuals from all backgrounds. We prohibit discrimination and harassment of any kind, ensuring that all employment decisions are based on qualifications, merit, and the needs of the business. Our dedication to fairness and equality extends to all aspects of employment, including hiring, training, promotion, and compensation, without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under federal, state, or local law.

 

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