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Mlops Engineer Remote Jobs in Kent, WA (NOW HIRING)

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

Nametag

Senior Software Engineer, Reliability

Seattle, WA · Remote

$120K - $190K/yr

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and ...

The Mutual Group

Lead AI Engineer - AWS Platform

Seattle, WA · On-site +1

$130K - $190K/yr

Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred * Experience with ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

... engineers to focus on higher-order problems. This is a fully remote position. The program runs ... Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

... engineers to focus on higher-order problems. This is a fully remote position. The program runs ... Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design ...

Pryon

Solutions Architect

Seattle, WA · Remote

$160K - $180K/yr

Drive technical alignment across sales, engineering, and product teams throughout the solution ... Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment ...

RevStar

Solutions Architect

Seattle, WA · On-site +1

$71.75 - $94.50/hr

... engineering, training, inference, and MLOps workflows * Design Generative AI architectures using ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

RevStar

Solutions Architect

Seattle, WA · Remote

$71.75 - $94.50/hr

... engineering, training, inference, and MLOps workflows * Design Generative AI architectures using ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

RevStar

Solutions Architect

Seattle, WA · Remote

$64.50 - $85/hr

... engineering, training, inference, and MLOps workflows * Design Generative AI architectures using ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

TrueBlue, Inc.

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... You'll work closely with technical product owners and developers to define product functionality ...

New

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

TrueBlue

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... You'll work closely with technical product owners and developers to define product functionality ...

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All JobsMlops Engineer JobsMlops Engineer Remote JobsMlops Engineer Remote Jobs in Kent, WA

Mlops Engineer Remote information

See Kent, WA salary details

$42.9K

$130.8K

$216.2K

How much do mlops engineer remote jobs pay per year?

As of Jul 31, 2026, the average yearly pay for mlops engineer remote in Kent, WA is $130,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $171,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote MLOps Engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What does an MLOps Engineer do, especially in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are the key skills and qualifications needed to thrive as an MLOps Engineer (Remote), and why are they important?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.
What cities near Kent, WA are hiring for Mlops Engineer Remote jobs? Cities near Kent, WA with the most Mlops Engineer Remote job openings:
Mlops Engineer Remote jobs near you

MLOps Engineer

Zortech Solutions

Bellevue, WA • Remote

Contractor

Re-posted 28 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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