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

PitchBook

Manager, Engineering, AI & ML

Seattle, WA · On-site

PitchBook, a Morningstar company, is seeking an Engineering Manager for AI & ML to lead their ... Python and SQL • Must be authorized to work in the United States without the need for visa ...

Oracle

Software Developer 4

Seattle, WA · On-site

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

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 ...

Oracle

Software Developer 4

Seattle, WA · On-site

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

Oracle Corporation

Software Developer 4

Seattle, WA

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

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

Python Ml Developer information

See Bellevue, WA salary details

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$66

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How much do python ml developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python ml developer in Bellevue, WA is $66.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $75.14 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 Bellevue, WA? For Python Ml Developer jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Bellevue, WA look for? The top searched job categories for Python Ml Developer jobs in Bellevue, WA are:
What cities near Bellevue, WA are hiring for Python Ml Developer jobs? Cities near Bellevue, WA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Bellevue, WA as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 2% Temporary, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $137,618 per year, or $66.2 per hour.
Manager, Engineering, AI & ML

Manager, Engineering, AI & ML

PitchBook

Seattle, WA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
PitchBook, a Morningstar company, is seeking an Engineering Manager for AI & ML to lead their initiatives in generating insights from structured and unstructured data. The role involves managing a team of engineers and data scientists, providing technical leadership, and ensuring the development of high-quality AI & ML solutions that align with business strategies.
Responsibilities:
• Drive the execution of AI & ML initiatives related to PitchBook Platform insights, ensuring that the team’s efforts are aligned with overall business goals and strategies
• Provide hands-on technical leadership in the engineering of AI/ML models and services, focusing on NLP, summarization, semantic search, prediction, classification, and other use cases. Oversee and contribute to the implementation of scalable solutions that meet high standards of reliability and efficiency
• Lead, mentor, and develop a high-performing team of engineers and data scientists, fostering a culture of innovation and continuous improvement. Ensure effective communication and coordination within your team and across geographically dispersed teams
• Contribute to the development and application of NLP techniques, including classifiers, transformers, LLMs, and other methodologies, to efficiently leverage structured and unstructured data for insights generation. Ensure these models are integrated seamlessly into the broader AI/ML infrastructure
• Work closely with other AI/ML teams, data collection engineering teams, product management, and others to ensure data collection efforts support broader AI/ML goals and product objectives
• Continuously explore and implement new technologies and methodologies to enhance the efficiency and accuracy of AI/ML insights generation. Stay at the forefront of advancements in NLP, Search, and AI in relevant business domains
• Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparency
• Play an active role in recruiting, training, and retaining top engineering talent. Foster an environment where team members are encouraged to innovate, feel valued, and achieve their full potential
• Apply Agile, Lean, and Fast-Flow principles to improve team efficiency and the delivery of high-quality data collection solutions
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested
Qualifications:
Required:
• Bachelor’s in Computer Science, Mathematics, Data Science, or a related field
• Minimum 6 years of experience in AI/ML engineering initiatives in NLP and GenAI
• Minimum 3 years of experience in a leadership role
• Minimum 5 years of experience in Python and SQL
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Preferred:
• Preferred experience in insights generation, summarization, semantic search, prediction, and productionizing ML-powered capabilities.
• People management experience preferred and technical leadership experience also considered
• Strong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), and other NLP techniques
• Proven track record of shipping production-grade GenAI and Large Language Model (LLM) systems or services at scale, with measurable impact on product delivery or user experience
• Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake)
• Strong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally
• Demonstrated ability to solve complex technical challenges and deliver scalable solutions
• Excellent communication skills with a collaborative approach to working with global teams and stakeholders
• Experience working in fast-paced environments, particularly in industries that rely on data-intensive technologies (experience in fintech is highly desirable)
Company:
PitchBook offers financial data and tools on companies, deals, investors, and markets to support sales and business development. It is a sub-organization of Morningstar. Founded in 2007, the company is headquartered in Seattle, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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