ZipRecruiter

Log In

1

Python Ml Developer Jobs in Everett, WA (NOW HIRING)

Geico

Senior Staff ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Proficient in Python, Java or similar general-purpose programming languages. * Bachelor's degree or ... AI/ML initiatives * Extensive experience using cloud provider solutions such as Azure and AWSto ...

AZX

Senior ML Engineer (Energy & Utilities)

Seattle, WA · On-site

$140K - $230K/yr

We are seeking a Senior ML Engineer that will build the AI models and underlying tools that power ... Own the simulation engine - Rust crates and Python bindings - including its validation methodology ...

Salesforce, Inc.

Senior ML Engineer

Bellevue, WA · On-site

$117K - $162K/yr

Mastery of Python programming with an emphasis on software engineering best practices, including ... ML Engineering: Demonstrated experience building and deploying ML models to production, conducting ...

Apple Inc.

ML Agent Engineer

Seattle, WA · On-site

$150K - $277K/yr

Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code. * Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing ...

AZX

Senior ML Engineer (Client Solutions)

Seattle, WA · On-site

$140K - $230K/yr

... team - some DevOps, some infrastructure, some front end and back end - because you are the ... Python, SQL, tests, Docker, a scheduler, an API or app surface, and monitoring - type-strict ...

Navisoft

Azure AI Engineer

Bellevue, WA · On-site

Proficiency in C# with solid software engineering principles ... Working knowledge of Python for AI/ML scripting and integration. * Experience with Microsoft ...

New

previous pagenext page

Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Everett, WA

Python Ml Developer information

See Everett, WA salary details

$14

$64

$95

How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Everett, WA is $64.76, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $73.56 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Everett, WA look for?

The top searched job categories for Python Ml Developer jobs in Everett, WA are:

What cities near Everett, WA are hiring for Python Ml Developer jobs?

Cities near Everett, WA with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Everett, WA as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 10% Part Time, and 5% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $134,696 per year, or $64.8 per hour.

Principal Software Engineer, ML & Distributed Systems

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

$188K - $304K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Design, build, and operationalize scalable ML and deep learning models using containers and orchestration platforms.

  • Design, implement, and maintain responsive, accessible, and visually polished user interfaces and full-stack application features.

  • Build and support front-end applications using TypeScript with frameworks such as React, NextJS, Web Components (or similar), and integrate them with robust back-end services.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

71st of 247 rated software companies

Job description

Overview
We are looking for a Principal Software Engineer to design, build, and operationalize machine learning systems and hyperscale distributed services that power Microsoft's AI experiences. This is a role for an engineer who is equally at home training and shipping ML models and building the large-scale distributed infrastructure that serves them - and who has the appetite to do both. You will own systems end to end: from model development and evaluation, through the serving and orchestration layers, to reliable operation at hyperscale.
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. With nearly 30 years of history, MSN has evolved into a premier content destination with high-quality content, AI-powered user-controlled personalization, and massive global reach. Over the past 4 years, AI and Machine Learning technologies have fueled massive growth, transforming MSN's content moderation, personalization, and content entry points.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Design, build, and operationalize scalable ML and deep learning models using containers and orchestration platforms (e.g., Kubernetes).
  • Develop and refine LLM prompt and fine-tuning strategies, build evaluation pipelines, and continuously optimize model quality, latency, and cost.
  • Architect, implement, and operate multi-tiered distributed services at hyperscale, with high availability, fault tolerance, and low latency.
  • Build model serving and inference infrastructure, including caching, batching, GPU capacity management, and A/B experimentation at scale.
  • Design scalable APIs, data pipelines, and feature/signal stores that ensure efficient, secure, and reliable data flow between ML systems and product surfaces.
  • Drive live-site excellence: instrumentation, monitoring, capacity planning, and incident response for ML-backed services.
  • Collaborate with applied scientists, data scientists, backend engineers, and product teams to translate requirements into production ML systems.
  • Participate in code reviews and architectural discussions, and mentor engineers across both ML and systems disciplines.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Proven experience designing, developing, and operating multi-tiered distributed services at scale.
  • Hands-on experience building, deploying, and operating machine learning systems in production (model training, evaluation, and/or LLM-based applications).
  • Experience working through full product cycles, from initial design to final delivery.
  • Experience with LLM application patterns: prompt engineering, RAG, fine-tuning, and model evaluation frameworks.
  • Experience with ML infrastructure: distributed training, inference optimization, GPU capacity management, and orchestration platforms such as Kubernetes.
  • Experience with large-scale data systems (streaming, caching such as Redis, feature stores) and experimentation platforms.
  • Demonstrated ability to work across the ML/systems boundary and a strong desire to keep doing both.

#MicrosoftAI #Software Engineer #ML engineer
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

FacebookTwitter

View All Microsoft Jobs

Apply