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Mlops Machine Learning Engineer Jobs in Seattle, WA

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Microsoft

Principal Machine Learning Engineer

Redmond, WA · On-site

$188K - $304K/yr

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative ... Proven track record of designing and deploying large-scale ML or MLops systems in research or ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Adobe

Sr. Machine Learning Engineer 4

Seattle, WA

$118K - $163K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning ... Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability ...

Axon

Sr Machine Learning Engineer I

Seattle, WA · Hybrid

$118K - $163K/yr

Your Impact As an Applied Machine Learning Engineer focused on Sensor Fusion & Tracking, you will ... Familiarity with MLOps practices including CI/CD for ML, model versioning, monitoring, and ...

Orchard

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Familiarity with MLOps software and data engineering to ensure consistent deployment of ML models.

New

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.

Factspan Inc

Machine Learning Engineer

Seattle, WA

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ... to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA

$190K - $250K/yr

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... Experience building ML platforms, experimentation systems, or MLOps tooling * Experience leading ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA · On-site

$190K - $250K/yr

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... Experience building ML platforms, experimentation systems, or MLOps tooling * Experience leading ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Nvidia

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.

New

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Showing results 21-40

All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Seattle, WA

Mlops Machine Learning Engineer information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

How much do mlops machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mlops machine learning engineer in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, 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, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Seattle, WA? For Mlops Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Seattle, WA look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Mlops Machine Learning Engineer jobs? Cities near Seattle, WA with the most Mlops Machine Learning Engineer job openings:
Mlops Machine Learning Engineer jobs near you

Machine Learning Engineer

Apple

Seattle, WA

$175K - $308K/yr

Full-time

Medical, Dental, Retirement

Re-posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Preferred Qualifications
Passion for delivering high quality features to large groups of diverse end-users
Excellent communication and experience working with multi-functional teams
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
MS degree in computer vision, computer graphics, machine learning or related field
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
Minimum Qualifications
Software engineering skills and proficiency in Python
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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