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Python Ml Developer Jobs in Cranford, NJ (NOW HIRING)

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade ... ML models for advanced business insights. - Ensure solutions comply with security best practices ...

Nexstar Media Group

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

Compunnel

ML Engineer

Jersey City, NJ · On-site

Job Summary: We are seeking an ML Engineer to bridge the gap between machine learning ... Strong software engineering skills with proficiency in Python * Experience building REST APIs and ...

Huntress Talent

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Software Engineers create next generation software solutions to support business areas across the ... ML techniques and statistical methods • Experience with C++, kdb, and SQL

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Role: AI/ ML Engineer Duration: 6 months contract Location: US/ Canada- Remote Minimum exp ... Strong programming skills in Python (mandatory) * Hands-on experience with LLMs and GenAI ...

Appgate

Staff Machine Learning Engineer

Manhattan, NY · On-site

$180K - $220K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Invoca

Senior ML Engineer

New York, NY · On-site +1

$114K - $157K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... experience in Python or R * Experience working with both structured and unstructured data ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site +1

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Cranford, NJ

Python Ml Developer information

See Cranford, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python ml developer in Cranford, NJ is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 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.

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.

What cities near Cranford, NJ are hiring for Python Ml Developer jobs? Cities near Cranford, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Cranford, NJ as of June 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $124,237 per year, or $59.7 per hour.

Lead Python Developer

Winaxis

New York, NY • On-site

$153K - $188K/yr

Contractor

Posted 20 days ago

Job description

Job Summary: Lead Python Developer
- Lead the design, development, and deployment of enterprise-grade applications, primarily in the finance sector.
- Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars, and Spring Boot to deliver scalable, high-performance solutions.
- Apply quantitative engineering skills for interest rate derivatives, specifically within SWAP QE environments.
- Manage big data processing and analytics using Apache Spark, Databricks, and AWS Glue for large-scale data pipelines and ETL processes.
- Conduct financial risk modeling, predictive analytics, and machine learning to support data-driven decision-making.
- Implement cloud computing and DevOps best practices with AWS, Docker, Kubernetes, and Terraform for automated infrastructure and CI/CD deployment.
- Design and implement RESTful and GraphQL APIs using FastAPI, Flask, and Django; optimize backend systems using PostgreSQL, MongoDB, Redis, Oracle, and PL/SQL.
- Develop and orchestrate microservices and event-driven architectures using Kafka and RabbitMQ.
- Lead Agile teams using Scrum, Kanban, and SAFe, ensuring code quality, test-driven development (PyTest, Selenium), peer reviews, and continuous integration.
- Perform web scraping, data engineering, and automation using Selenium, BeautifulSoup, Scrapy, and Requests.
- Schedule and optimize data workflows with Apache Airflow; integrate AI/ML models for advanced business insights.
- Ensure solutions comply with security best practices and are reliable, scalable, and maintainable.