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

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data ...

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

Weyerhaeuser Company

ML Engineer

Seattle, WA · On-site

The ML Engineer will be responsible for developing, training, deploying, and operationalizing ... Programming Skills Strong proficiency in Python and version control (git); working knowledge of SQL ...

Lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Lululemon athletica

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

lululemon

Senior AI/ML Engineer

Seattle, WA

$118K - $163K/yr

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms Must haves Acknowledge the ...

Meta

Software Engineer, Systems ML Engineering

Seattle, WA · On-site +1

$183K/yr

Experience with C++, Python, or equivalent systems programming languages applied to production ML or infrastructure systems Preferred Qualifications: * Experience contributing to or maintaining open ...

Oracle

Software Developer 4

Seattle, WA · On-site

Strong Python and ML frameworks (PyTorch, TensorFlow) * LLMs, embeddings, vector search, RAG pipelines, and fine-tuning * Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow * Distributed ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$154K/yr

Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...

Cooley LLP

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering ... Strong proficiency in Python for building and operating LLM-powered applications and agentic ...

Cooley

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering ... Strong proficiency in Python for building and operating LLM-powered applications and agentic ...

Akidev Corporation

AI/ML Engineer III

Redmond, WA · On-site

Python + PyTorch for ML/AI algorithm development * Image processing / computer vision (feature ... D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or a related ...

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

You'll be one of the first full-time ML engineers and will have an enormous impact on all aspects ... Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ...

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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 Jul 30, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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 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 July 2026, with employment types broken down into 81% Full Time, 6% Part Time, 1% Temporary, and 12% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,696 per year, or $64.8 per hour.

AI/ML Lead Telecom Exp. Must I Seattle WA - Day 1 onsite

Noblesoft Technologies

Seattle, WA • On-site

$116K - $153K/yr

Contractor

Re-posted 13 days ago

Job description

Location - Seattle, WA ( Onsite DAY1 ) 5 days WFO - Relocation is fine 

Telecom exp is mandatory. 

Job Description:

  1. Hands-on experience with agentic AI and frameworks such as Semantic Kernel and Microsoft Agent Framework.
  2. Proficiency in Python, ML Ops, typical data processing tools, pipelines.
  3. Experience building multi-agent systems, using Lang graph or Azure AI Factory.
  4. Experience with OpenAI and Azure services such as AI Search
  5. Experience building MCP servers and tools
  6. Experience with Snowflake, Databricks, Spark and Spark ML.
  7. Experience in evaluating the AI ML models for Telco operations related use cases.
  8. Good understanding of the Telco mobile network and IMS systems.