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Python Ml Developer Jobs (NOW HIRING)

Unissant

AI-ML Developer

Ashburn, VA · On-site

Strong proficiency in programming languages such as Python, R, Java, and C/C++. * Front-end ... ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras ...

Stenographica, Ltd

AI ML Developer 1

Austin, TX · On-site

AI ML Developer 1 Key Responsibilities: - Design, develop, and deploy machine learning models for ... in Python and core machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow ...

New

Unissant

AI-ML Developer

Ashburn, VA · On-site

Strong proficiency in programming languages such as Python, R, Java, and C/C++. * Front-end ... ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras ...

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

Python/AI/ML Engineer They are looking for an expert engineer ... developer with a year or two experience with generative AI (genAI is only a few years old from the ...

The Cypress Group

AI/ML Developer

Manhattan, NY

$125K - $170K/yr

If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making ... Handle projects in various ML disciplines, including Natural Language Processing (NLP ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Lorven Technologies

Python Developer AI/ML

Charlotte, NC · On-site

$49 - $67.75/hr

Python Developer - AI/ML Location: Charlotte, NC or Irving, TX Contract Interview Process: Final round requires in person interview We are seeking a highly skilled Python Developer with hands on ...

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How much do python ml developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python ml developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.
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What job categories do people searching Python Ml Developer jobs look for? The top searched job categories for Python Ml Developer jobs are:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

ML Engineer in Minneapolis MN (Onsite)

Winning Edge Solutions, LLC

Minneapolis, MN • On-site

Other

Posted 29 days ago

Job description

Role: ML Engineer

Location: Minneapolis MN (Onsite)

Duration: 12+ Month Contract

Key Skills: Machine Learning, Python, ML Pipelines, Model Deployment, Model Serving, Data Engineering, Model Monitoring, Drift Detection, Performance Optimization, Automated Testing

Job Description:

Role Summary: Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Responsibilities:

Translate data science prototypes into production-grade ML services and pipelines.

Build training and inference code with reproducibility, versioning, and automated testing.

Implement scalable model serving (online/offline), batching, and latency/throughput optimization.

Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).

Collaborate with Data Engineering on feature pipelines and data contracts.

Own production health: drift detection, performance regression, rollback strategies, and incident response.

About Us WinningEdge:

Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 100 years and we have successfully placed hundreds of candidates.


ML EngineerMinnesota

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