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Remote Python Machine Learning Jobs in Clanton, AL

Python Developer

Montevallo, AL ยท On-site +1

$90K - $125K/yr

Python Developer Location Remote / Hybrid / On-site Experience 3-6 Years Employment Type Full-Time ... Learning and certification reimbursement * Employee Assistance Program (EAP) * Career growth and ...

Posted today

Remote Python Machine Learning information

See Clanton, AL salary details

$12

$53

$78

How much do remote python machine learning jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote python machine learning in Clanton, AL is $53.53, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $60.82 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What cities near Clanton, AL are hiring for Remote Python Machine Learning jobs? Cities near Clanton, AL with the most Remote Python Machine Learning job openings:

Python Developer

Vultus Inc

Montevallo, AL โ€ข On-site, Remote

$90K - $125K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 hours ago

Posted today


Job description

Python Developer

Location

Remote / Hybrid / On-site

Experience

3โ€“6 Years

Employment Type

Full-Time

Job Summary

We are seeking a skilled Python Developer to design, develop, and maintain scalable, high-performance applications. The ideal candidate should have strong expertise in Python programming, RESTful APIs, database management, and cloud technologies. You will collaborate with cross-functional teams to deliver reliable, secure, and maintainable software solutions.

Key Responsibilities
  • Design, develop, test, and maintain Python-based applications.
  • Build scalable RESTful APIs and backend services.
  • Write clean, reusable, and well-documented code following coding standards.
  • Collaborate with front-end developers, QA engineers, and product teams to deliver high-quality solutions.
  • Optimize application performance and troubleshoot production issues.
  • Integrate third-party APIs and external services.
  • Develop database schemas and write optimized SQL queries.
  • Implement security, authentication, and authorization best practices.
  • Participate in code reviews and contribute to continuous improvement initiatives.
  • Work with CI/CD pipelines and version control systems.
Primary Skills
  • Python
  • Django and/or Flask
  • FastAPI
  • REST API Development
  • SQL (PostgreSQL, MySQL)
  • Object-Oriented Programming (OOP)
  • Git/GitHub
  • Unit Testing (PyTest, Unittest)
  • Docker
  • Linux
Secondary Skills
  • AWS, Azure, or Google Cloud Platform
  • Redis
  • Celery
  • Kubernetes
  • MongoDB
  • GraphQL
  • Microservices Architecture
  • CI/CD (Jenkins, GitHub Actions)
  • Agile/Scrum Methodology
  • Message Queues (RabbitMQ, Kafka)
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3โ€“6 years of professional experience in Python development.
  • Strong understanding of software development life cycle (SDLC).
  • Experience with API integration and relational databases.
  • Knowledge of design patterns and clean coding principles.
  • Excellent analytical and problem-solving skills.
  • Good verbal and written communication skills.
Preferred Qualifications
  • Experience with cloud-native application development.
  • Familiarity with containerization and orchestration tools.
  • Knowledge of performance optimization and application monitoring.
  • Experience working in Agile development environments.
  • Python certification or relevant cloud certifications are a plus.
Salary Range

USD $90,000 โ€“ $125,000 per annum (depending on experience, location, and skills)

Benefits
  • Competitive salary and annual performance bonus
  • Health, dental, and vision insurance
  • Paid time off and company holidays
  • Flexible work arrangements
  • Learning and certification reimbursement
  • Employee Assistance Program (EAP)
  • Career growth and mentorship opportunities
  • Collaborative and inclusive work environment