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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

$125.25K - $183.70K/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

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 ...

Weyerhauser Co

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 ...

Arkhya Tech

Senior AI/ML Consultant

Seattle, WA

Strong programming skills in Python and SQL * Hands-on experience with ML tools such as MLflow or Kubeflow * Experience with cloud platforms (AWS preferred) and distributed systems like Spark

Lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118.90K - $163.30K/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

$118.90K - $163.30K/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 · On-site

$118.90K - $163.30K/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 ...

Paradigm

Senior Applied ML Engineer

Seattle, WA · On-site

$118.90K - $163.30K/yr

... in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). • Experience with ML Ops ... both engineers and non-technical stakeholders. Preferred : • Experience applying ML in ...

Paradigm

Manager, ML Ops Infrastructure

Seattle, WA · Remote

$110K - $144.30K/yr

Python programming experience with fluency in ML frameworks (PyTorch, TensorFlow) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). * Experience with the modern AI/ML toolchain including model serving ...

Mastech Digital

Python Engineer

Redmond, WA · On-site

$75 - $80/hr

We are currently seeking a Python Engineer for our client in the IT Services domain. We value our ... role is not ML-heavy). Team Culture: - Strong emphasis on collaboration and communication ...

Cooley LLP

Senior AI/ML Engineer

Seattle, WA

$119K - $163.40K/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

$118.90K - $163.30K/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 LLP

Senior AI/ML Engineer

Seattle, WA

$118.90K - $163.30K/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 ...

Redapt

AI/ML Engineer

Woodinville, WA

$130K - $140K/yr

Working knowledge of DevOps process (CI/CD) applied to data science and ML ops. Qualifications ... Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL. * Azure ML, Vertex AI ...

Redapt

AI/ML Engineer

Woodinville, WA · On-site

$130K - $140K/yr

Working knowledge of DevOps process (CI/CD) applied to data science and ML ops. Qualifications ... Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL. * Azure ML, Vertex AI ...

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 ...

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming ... Strong Python skills * Exposure to ML frameworks through coursework, projects, or internships

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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 May 29, 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/ML Engineer

Belva.ai

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

We are seeking a talented and experienced AI / ML Engineer to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions.

Role and Responsibilities:

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 pipelines into robust software applications.

You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders.

Duties / Responsibilities:

  • 2+ years industry experience
  • Strong expertise in C++ and Python
  • Experience in natural language processing / machine translation / text-to-speech
  • Experience in deploying user-facing machine learning systems in production
  • Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus
  • Outstanding spoken and written communication skills
  • Highly motivated, creative, organized and a strong problem solver
  • Experience with prompt development using LLM’s such as ChatGPT, Llama 2, Claude 2, etc.

Required Skills/Abilities:

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Minimum of 2 years of professional experience as an AI / ML Engineer in production environments.
  • Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc.
  • Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines.
  • Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment.
  • Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications.
  • Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies.

Qualifications and Experience:

  • Must be a Citizen or Green Card Holder and live in the United States
  • B.S. in Computer Science or equivalent experience
  • 2+ years of professional experience as an AI / ML Engineer.
  • Excellent problem-solving skills and the ability to tackle complex challenges.
  • Prior experience in leadership or mentorship roles is a plus.
  • Strong verbal and written communication skills.
  • Openness to new ideas and an unceasing desire to learn new things.

Preferred Qualifications:

  • Experience with database systems such as PostgreSQL and MongoDB.
  • Experience with orchestration tools such as Kubernetes is desirable.
  • Experience with Atlassian tools: JIRA, Confluence, etc.

Why Join Us:

  • Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader.
  • Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses.
  • Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory.

We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together.

Company Description

AI telecommunications