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Python Ml Developer Jobs in Lake Stevens, WA (NOW HIRING)

Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering ... Python, Spark, Airflow,MLFlow, feature stores, cloud ML platforms Must haves Acknowledge the ...

ML Engineer

Seattle, WA ยท 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 ...

Senior Applied ML Engineer

Seattle, WA ยท 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 ...

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 ...

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 ...

Senior AI/ML Engineer

Seattle, WA ยท 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 ...

Senior AI/ML Engineer

Seattle, WA ยท 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 ...

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 ...

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

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 ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

ML Engineer (Senior)

Seattle, WA ยท 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 ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms Must haves Acknowledge the ...

Senior Staff ML Engineer

Seattle, WA ยท 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 ...

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Python Ml Developer information

See Lake Stevens, WA salary details

$14

$64

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How much do python ml developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ml developer in Lake Stevens, WA is $64.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $72.93 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 cities near Lake Stevens, WA are hiring for Python Ml Developer jobs?

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

Infographic showing various Python Ml Developer job openings in Lake Stevens, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,547 per year, or $64.2 per hour.

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

Noblesoft Technologies

Seattle, WA โ€ข On-site

$116K - $153K/yr

Contractor

Re-posted 3 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.