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

Uber

Engineering Manager II

Seattle, WA · On-site

Introducing Uber's Platform for Rapid Python ML Model Development]( 4. [Continuous Integration and ... Basic Qualifications ---- 1. Experience as a software engineering leader and manager who has built ...

lululemon

Applied AI/ML Scientist

Seattle, WA

You own the AI solution implementation and partner with engineering teams to integrate solutions ... such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits. Must haves ...

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Collaborating with product and engineering teams to embed AI models into end to end business ... Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML ...

Maximus

AI/ML Software Developer

Bellevue, WA · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Seattle, WA · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Twitch

Software Engineer I, Monetization ML

Seattle, WA · On-site

Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies ... Knowledge of real-time ML serving systems and model deployment at scale * Experience with fraud ...

JPMorgan Chase & Co.

Applied AI ML Director

Seattle, WA · On-site

$223.25K - $325K/yr

Strong coding and code review skills in Python and modern ML frameworks * Commitment to responsible AI practices and continuous improvement * Ability to mentor and develop engineering talent ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133.10K - $170.90K/yr

... Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

Amazon

Software Engineer, Monetization ML

Seattle, WA · On-site

... engineering teams across monetization to deliver ML-powered features that enhance creator and ... Golang, Python, Apache Flink, Cond - Experience with workflow orchestration tools like Airflow or ...

JP Morgan Chase

Applied AI ML Director

Seattle, WA · On-site

$46.70K - $60.90K/yr

Strong coding and code review skills in Python and modern ML frameworks * Commitment to responsible AI practices and continuous improvement * Ability to mentor and develop engineering talent ...

JPMorgan Chase & Co

Applied AI ML Director

Seattle, WA

$46.70K - $60.90K/yr

Strong coding and code review skills in Python and modern ML frameworks * Commitment to responsible AI practices and continuous improvement * Ability to mentor and develop engineering talent ...

OfferUp

AI/ML Engineer

Bellevue, WA · On-site

$140K - $160K/yr

As an AI Engineer on the Data team, you will own the production systems - from agentic workflows ... Proficiency with async Python (asyncio, streaming) and Pydantic. * Strong SQL skills for large ...

OfferUp

AI/ML Engineer

Bellevue, WA

$140K - $160K/yr

As an AI Engineer on the Data team, you will own the production systems - from agentic workflows ... Proficiency with async Python (asyncio, streaming) and Pydantic. * Strong SQL skills for large ...

Apple

ML Software Engineer

Seattle, WA

$171.60K - $258.10K/yr

Our team builds ML-inference applications and services on Apple Silicon in the datacenter ... Swift, C, C++, Python, iOS/macOS or XCode Practical experience running machine learning models and ...

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Python Ml Developer information

See Everett, WA salary details

$14

$64

$95

How much do python ml developer jobs pay per hour?

As of May 31, 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 are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

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 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 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 are popular job titles related to Python Ml Developer jobs in Everett, WA? For Python Ml Developer jobs in Everett, WA, the most frequently searched job titles are:
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 May 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $134,696 per year, or $64.8 per hour.

AI Staff Machine Learning Engineer, General AI, ML & Big Data

C-Serv

Bellevue, WA • On-site

$63 - $83.25/hr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 21 days ago

Job description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

  • Degree in Computer Science, Mathematics, or a related field
  • 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
  • 5–10 years of Python expertise, including advanced features and libraries
  • Strong experience designing RESTful APIs (e.g., FastAPI)
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines
  • 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
  • Proven experience as a tech lead or engineering mentor

Preferred Qualifications

  • MS or PhD in Computer Science or ML
  • Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
  • Familiarity with NoSQL and document databases
  • Track record of handling big data, optimising workflows, and improving system performance

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development