ZipRecruiter

Log In

1

Mlops Engineer Jobs in Portland, OR (NOW HIRING)

Nike

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools) * Strong track record with modern DevOps methodologies, automation, CI/CD pipelines, and ...

Fisher Investments

AI Engineering Manager

Camas, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Establish engineering best practices for AI development, including MLOps, LLMOps, testing, observability, security, governance, and responsible AI * Evaluate latest AI technologies and frameworks ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

... LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management

A-dec, Inc.

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial ... with MLOps practices including model monitoring, versioning, and lifecycle management • ...

next page

Showing results 1-20

All JobsMlops Engineer JobsMlops Engineer Jobs in Portland, OR

Mlops Engineer information

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are popular job titles related to Mlops Engineer jobs in Portland, OR?

For Mlops Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Portland, OR look for?

The top searched job categories for Mlops Engineer jobs in Portland, OR are:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Senior Principal Software Engineer

Nike

Beaverton, OR • On-site

$130K - $180K/yr

Full-time

Posted 25 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

Sr. Principal Engineer
CONSUMER PRODUCT AND INNOVATION , PHK-BEAVERTON
WHO YOU WILL WORK WITH
You will report to the Sr. Director, Reporting & Intelligence Engineering and be part of the Engineering Leadership Team. You will collaborate regularly with software and machine learning engineers in Reporting & Intelligence, principal engineers in partner domains, product managers, and engineering directors to activate technical designs and plans. You will contribute to high-impact initiatives, collaborate with global teams, and help build the next generation of Nike's digital product merchandising & creation capabilities.
WHO WE ARE LOOKING FOR
We are looking for a visionary and value-driven Sr. Principal Engineer to lead in the design, build, and evolution of Nike's digital transformation across product merchandising, apparel and footwear creation. You are not only an expert in software architecture and engineering but also a strategic thinker who can see the long-term impact of technology decisions. Your experience allows you to guide teams through ambiguity, and set clear technical standards. You thrive in a fast-paced environment where cross-functional collaboration, creativity, and agility are essential. You have a demonstrated history of successfully leading engineering teams, delivering innovative solutions, and driving organizational change at scale.
Key Qualifications
  • Bachelor's degree in Computer Science, Software Engineering or a related field
  • 14+ years hands-on software engineering experience
  • 5+ years experience as a Principal or Staff Engineer, accountable for multiple engineering teams
  • 5+ years native cloud engineering experience in a high scale, business critical domain
  • Excellent computer science fundamentals including algorithms, data structures, and modern cloud native design patterns
  • Deep experience with distributed cloud systems tech (Java/node.js, EC2, Lambda, DynamoDB, Elasticsearch, or Google Cloud/Azure equivalents)
  • Hands-on experience with modern data platform technologies (e.g., Databricks, Snowflake, Kafka/Kinesis, Apache Spark, Apache Airflow, dbt)
  • A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
  • Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)
  • Strong track record with modern DevOps methodologies, automation, CI/CD pipelines, and infrastructure as code (IaC)
  • Experience with front-end web application tech (javascript, CSS, html5, Vue, React/redux)
  • Excellent verbal and written communication skills, both technical and business-facing
  • Ability to build and maintain relationships with multiple senior stakeholders
  • Domain experience in product creation, design, innovation or manufacturing is a major plus

WHAT YOU WILL WORK ON
If this is you, you'll be building the technology on one of Nike's emerging technology platforms. In a typical week, half of your time will be spent leading by example to design, develop, operate, and integrate Nike and partner platforms and applications. The other half will be leadership responsibilities to drive technical priorities, define engineering best practices, collaborate with peers, and help to translate business problems into technical solutions.
Your responsibilities will include
  • Designing, developing, and integrating scalable platforms and applications
  • Championing best practices in software development high standards for code quality, reliability, and maintainability across multiple engineering teams
  • Driving technical priorities and collaborating with peers and cross-functional teams to align technical execution with business needs
  • Translating complex business challenges into actionable technical solutions
  • Evaluating, recommending, and integrating emerging technologies, frameworks, and tools to strengthen Nike's technology ecosystem
  • Overseeing the end-to-end lifecycle of critical projects, from requirements gathering and solution design, to implementation, monitoring, and optimization
  • Ensuring all platforms and services meet stringent security, privacy, and compliance standards, proactively identifying and mitigating risks
  • Driving adoption of modern engineering methodologies, including automation, continuous integration and delivery (CI/CD), MLOps/DevOps practices, test-driven development, and agile frameworks to accelerate innovation and delivery
  • Mentoring and coaching senior engineers, fostering a culture of technical excellence, intellectual curiosity, and continuous growth
  • Providing thought leadership to enable teams to solve challenging engineering problems

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

What Nike employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply