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Mlops Engineer Jobs in Seattle, WA (NOW HIRING)

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Job Title MLOps Engineer to work on AWS GovCloud Databricks Projected Start Date05-09-2025 Projected End Date10-31-2025 Position Type Contract Location : Bellevue, WA Remote Work100% Primary ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Build robust MLOps pipelines for continuous training and integration of models using telemetry data.

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Build robust MLOps pipelines for continuous training and integration of models using telemetry data.

Paradigm

Senior ML Ops Engineer

Seattle, WA · On-site

$123K - $170K/yr

What You Will Do: · Design, build, and maintain scalable MLOps solutions that support the end-to ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

As an AI Engineer, you will bridge the gap between AI research and real-world applications ... Data, MLOps & Productionization * Build and operate scalable data pipelines, ETL workflows, and ...

Microsoft

Software Engineer

Redmond, WA · On-site

$111K - $183K/yr

Data & MLOps Foundations * Build and maintain data pipelines, ETL workflows, and training datasets ... Collaborate with engineering, data science, and product teams to deliver AI-driven features and ...

Amazon

Sr. Software Development Engineer, MLOPs

Bellevue, WA · On-site

$138K - $182K/yr

We are looking for a Senior Software Development Engineer with deep expertise in machine learning operations to join the Data & Intelligence Foundation (DIF) team within Amazon. You will design ...

Apex Systems

Sr AI Analyst

Seattle, WA · On-site

$100K - $132K/yr

Support engineering and MLOps teams to transition prototypes into production. * Produce user-facing documentation, training, and adoption materials. * Report outcomes and ROI to stakeholders and ...

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Senior AI Engineer - Privacy Location: Bellevue, WA (Onsite from Day 1) Job Type: Contract Must ... Cloud & MLOps * Deploy and manage AI workloads on Azure or AWS, including serverless inference ...

Amazon

Sr. Software Development Engineer, MLOPs

Bellevue, WA · On-site

$138K - $182K/yr

We are looking for a Senior Software Development Engineer with deep expertise in machine learning operations to join the Data & Intelligence Foundation (DIF) team within Amazon. You will design ...

F5, Inc.

AI Engineer

Seattle, WA · On-site

Strong MLOps and data engineering experience: building data pipelines, model CI/CD, monitoring, and ... automated retraining workflows. Familiarity with Spark/Databricks, SQL and large-scale data ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Seattle, WA

Mlops Engineer information

See Seattle, WA salary details

$108.8K

$170.7K

$198.1K

How much do mlops engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for mlops engineer in Seattle, WA is $170,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,970.00 and $183,993.00 per year, depending on experience, location, and employer.

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 the most commonly searched types of Mlops Engineer jobs in Seattle, WA?

The most popular types of Mlops Engineer jobs in Seattle, WA are:

What are popular job titles related to Mlops Engineer jobs in Seattle, WA?

For Mlops Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Seattle, WA look for?

The top searched job categories for Mlops Engineer jobs in Seattle, WA are:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $170,710 per year, or $82.1 per hour.

MLOps Engineer

Zortech Solutions

Bellevue, WA • Remote

Contractor

Re-posted 15 days ago

Job description

Job Title  MLOps Engineer to work on AWS GovCloud Databricks
 
Projected Start Date05-09-2025
Projected End Date10-31-2025
Position Type Contract
Location : Bellevue, WA
Remote Work100%
Primary SkillsAWS Cloud Formation
 
Job Description:
  • MLOps Engineer to work on AWS GovCloud Databricks
  • Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
  • 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments
  • Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.
  • 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
  • 6-8 years of strong experience in Python / PySpark coding
  • 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
  • 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.
  • 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.
  • 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
  • 4-6 years of experience with CI/CD Dev Ops process.
  • Effective communication skills and succinct articulation
  • Experience working with remote and global teams and cross team collaboration
ZorTech logo

About ZorTech

Sourced by ZipRecruiter

The Zor Group is a globally operating conglomerate spanning multiple industries across four countries. Established in 2009 with a mission to make a positive impact, Zor initially began as a staffing organization and naturally evolved into the technology sector. In 2018, ZorTech was introduced through a strategic partnership with the Sunwill Group. Plans for international expansion were initiated in 2020, leading to successful entry into the US market. Alongside an impressive 70% year-over-year growth rate, we also established an offshore delivery team in the USA. With the incorporation of IT Services, ZorTech now offers end-to-end solutions, ranging from top-level talent sourcing to managing large-scale projects. Our organization currently operates in four countries, including Canada, the USA, the Dominican Republic, and India.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston , TX, US

Social media

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