ZipRecruiter

Log In

1

Aws Machine Learning Jobs in Portland, OR (NOW HIRING)

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... AWS Cloud Integrations or similar platform • Open-Source products like Kafka, NIFI • ...

Pwc

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

Pwc

Adobe Transformation - Manager

Portland, OR

$99K - $232K/yr

... platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Demonstrating proficiency in data analysis and visualization tools - Utilizing advanced skills in machine learning and ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

CTIO AI Engineering Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

Slalom Consulting

General Information

Portland, OR · On-site

$91K - $115K/yr

Familiarity with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud. * Awareness of AI, machine learning, generative AI, data platforms, and AI-enabled application architectures.

Pwc

AI Solutions Engineering Delivery Lead

Portland, OR · On-site

$108K - $143K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... maintain machine learning models and AI services used in production environments • Design and ... AWS or GCP beyond basic usage • Familiarity or experience with Dynamics 365, Snowflake and ...

The Avian Consulting LLC

MLOps Engineer

Portland, OR · On-site

Deploy and manage machine learning models in production environments. * Develop scalable data and ... AWS, Azure, or Google Cloud Platform). * Experience with Infrastructure as Code tools such as ...

previous pagenext page

Showing results 21-40

All JobsAws Machine Learning JobsAws Machine Learning Jobs in Portland, OR

Aws Machine Learning information

See Portland, OR salary details

$10

$74

$101

How much do aws machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for aws machine learning in Portland, OR is $74.30, according to ZipRecruiter salary data. Most workers in this role earn between $66.01 and $86.68 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Portland, OR? The most popular types of Aws Machine Learning jobs in Portland, OR are:
What are popular job titles related to Aws Machine Learning jobs in Portland, OR? For Aws Machine Learning jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Portland, OR look for? The top searched job categories for Aws Machine Learning jobs in Portland, OR are:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $154,542 per year, or $74.3 per hour.

Data Scientist, Principal (Portland)

Blue Shield of CA

Portland, OR • On-site

Part-time

Posted 14 days ago

Job description

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create intelligence at scale. Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting‑edge AI research into real‑world products and taking features from 0 to 1. You will design, build, and ship production‑grade AI products including LLM‑powered applications, AI agents and copilots, retrieval‑augmented generation (RAG) and search, and AI‑enabled automation embedded directly into customer‑facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high‑performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience
  • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience
  • 8 years of experience in software development and applied AI/ML with a Bachelor's degree; or 5 years with a Master's; or a PhD with relevant experience
  • Proven track record of building and shipping software products rapidly – not just developing models or analyses
  • Strong software engineering skills and proficiency in Python, including building APIs and backend services
  • Experience leading ML design and optimizing ML infrastructure – model deployment, evaluation, and data processing – and working with machine learning frameworks and libraries
  • Hands‑on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
  • Hands‑on experience building applications that leverage generative AI models, including prompt engineering and retrieval‑augmented generation (RAG)
  • Experience with generative AI research or applications preferred
  • Experience designing agent‑based systems and orchestration frameworks preferred
  • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred
  • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred
  • Experience rapidly developing and shipping software in a fast‑paced, customer‑facing environment, adapting to changing priorities preferred
  • Understanding of responsible AI and governance for regulated or healthcare environments preferred
Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in‑person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in‑office time based on business need.

#J-18808-Ljbffr

Apply