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Machine Learning Engineer Python Jobs in North Carolina

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Write clean, scalable, maintainable, and well-tested Python code * Support monitoring ... of experience in machine learning engineering, software engineering, or related technical ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Qualifications Applicants should have expertise in Python (including NumPy, pandas, and other ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power fraud ... Proficiency in Python * Experience writing clean, maintainable code and using version control tools ...

Samprasoft

Machine Learning Engineer

Durham, NC

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related ...

NSS

Machine Learning Engineer

Concord, NC · Remote

... developer, you will be responsible for feature development to deliver AI and machine learning ... NET, using TypeScript on the frontend, PostgreSQL for data storage, and Python for ML components.

NSS

Machine Learning Engineer

Concord, NC · Remote

... developer, you will be responsible for feature development to deliver AI and machine learning ... NET, using TypeScript on the frontend, PostgreSQL for data storage, and Python for ML components.

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Experience in programming languages (Python, C/C++, MATLAB, etc.). * Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.). * Experience with Windows ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Experience in programming languages (Python, C/C++, MATLAB, etc.). * Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.). * Experience with Windows ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Experience in programming languages (Python, C/C++, MATLAB, etc.). * Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.). * Experience with Windows ...

Vadum

Machine Learning Engineer

Raleigh, NC

$96K - $137K/yr

Experience in programming languages (Python, C/C++, MATLAB, etc.). * Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.). * Experience with Windows ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Proficiency in Python. * Experience writing clean, maintainable code and using version control (e.g ...

Q2

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Proficiency in Python. * Experience writing clean, maintainable code and using version control (e.g ...

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Proficiency in Python. * Experience writing clean, maintainable code and using version control (e.g ...

Indeed

Machine Learning Engineer

Charlotte, NC

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

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Machine Learning Engineer Python information

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 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 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 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 are popular job titles related to Machine Learning Engineer Python jobs in North Carolina? For Machine Learning Engineer Python jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in North Carolina look for? The top searched job categories for Machine Learning Engineer Python jobs in North Carolina are:
What cities in North Carolina are hiring for Machine Learning Engineer Python jobs? Cities in North Carolina with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in North Carolina as of May 2026, with employment types broken down into 44% Full Time, 49% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer

ExtendMyTeam

Cary, NC

Full-time

Posted 15 days ago

Job description

Join a high-growth financial technology organization focused on building modern digital banking, payments, lending, and risk solutions for financial institutions and fintech partners. This team is investing in machine learning and analytics capabilities to help improve fraud detection, predictive insights, and operational decision-making across customer-facing products.

This is an opportunity to work on applied machine learning systems that directly support real-world fraud and risk workflows. The team owns solutions end-to-end and is focused on building scalable, production-ready ML applications that deliver measurable customer impact.

Position Summary

We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics workflows.

This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work.

Responsibilities

  • Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring

  • Deploy and support machine learning models in production environments

  • Write clean, scalable, maintainable, and well-tested Python code

  • Support monitoring, troubleshooting, and optimization of production ML systems and data pipelines

  • Collaborate cross-functionally with engineering, data science, and product teams to operationalize ML solutions

  • Improve the reliability, scalability, and performance of ML infrastructure and services

  • Contribute to tooling and processes that support the machine learning development lifecycle

  • Participate in code reviews, technical discussions, and collaborative problem solving

Required Qualifications

  • 2+ years of experience in machine learning engineering, software engineering, or related technical experience

  • Strong Python development experience

  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

  • Experience deploying or supporting machine learning models in production environments

  • Experience writing clean, maintainable code and using version control tools such as Git

  • Exposure to cloud platforms such as AWS, GCP, or Azure

  • Understanding of taking machine learning models from research/development into production systems

Additional Information

  • Hybrid work environment based in Cary, NC

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities