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Machine Learning Engineer Python Jobs in Sandy, OR

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Machine learning framework • Statistical analysis with Python, R or similar Additional ...

Amat

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192K/yr

At least 3 years of experience in Python or C++ programming for complex SW systems. Experience deploying deep learning and machine learning models Experience designing and deploying large-scale SW ...

Pwc

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Ventures Unlimited Inc

Hadoop Lead

Beaverton, OR

... engineering leads and other teams on capacity planning Work with Site-Operations team on ... Machine learning framework (Nice to have) Statistical analysis with Python, R or similar ...

Pwc

NGA AI Engineer Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Apple

Custom Circuits Design Engineer

Beaverton, OR · On-site

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... Python /Perl or others) and CAD automation tools. - Knowledge of industry standard circuit and ...

Pwc

NGA AI Engineer Senior Manager

Portland, OR · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Columbia

Principal Data Scientist

Portland, OR

... Engineers to validate source data and develop data pipelines that feed into machine learning ... Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS

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Machine Learning Engineer Python information

See Sandy, OR salary details

$24.2K

$147.1K

$212.8K

How much do machine learning engineer python jobs pay per year?

As of Jul 23, 2026, the average yearly pay for machine learning engineer python in Sandy, OR is $147,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $172,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
Machine Learning Engineer Python jobs near you

Sr.Hadoop Developer

Bridge Tech

Beaverton, OR • On-site

Full-time

Posted 5 days ago

Job description

Company Description
Job Description
Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience
Client is embarking on the big data platform in Consumer Digital using Hadoop Distributed File System cluster. As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a driving force for building solutions. You will be working on development projects related to commerce and web analytics.
Responsibilities:
• Design and implement map reduce jobs to support distributed processing using java, cascading, python, hive and pig; Ability to design and implement end to end solution.
• Build libraries, user defined functions, and frameworks around Hadoop
• Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
• Develop user defined functions to provide custom hive and pig capabilities
• Define and build data acquisitions and consumption strategies
• Define & develop best practices
• Work with support teams in resolving operational & performance issues
• Work with architecture/engineering leads and other teams on capacity planning
Qualifications
Qualification:
• MS/BS degree in a computer science field or related discipline
• 6+ years' experience in large-scale software development
• 1+ year experience in Hadoop
• Strong Java programming, shell scripting, Python, and SQL
• Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala
• Strong understanding of Hadoop internals
• Good understanding of AVRO and Json and other compresssion
• Experience with build tools such as Maven
• Experience with databases like Oracle;
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
• Ability to understand and ERDs and relational database schemas
• Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have:
• Experience with open source NOSQL technologies such as HBase and Cassandra
• Experience with messaging & complex event processing systems such as Kafka and Storm
• Machine learning framework
• Statistical analysis with Python, R or similar
Additional Information
All your information will be kept confidential according to EEO guidelines.

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