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Python Ml Developer Jobs in Nokomis, FL (NOW HIRING)

AgileEngine

Senior Python Engineer ID84679

Port Charlotte, FL · On-site

$108K - $146K/yr

We rank among the leaders in areas like application development and AI/ML, and our people-first ... ABOUT THE ROLE We are looking for a Senior Python Engineer to build and maintain data pipelines ...

Tenex

AI/ML Engineer II

Sarasota, FL · On-site

$120 - $150/hr

As an AI/ML II Engineer at TENEX, you will be a key technical contributor responsible for designing ... Python, Go, Rust, or Java). * Agentic Systems: Deep knowledge of agentic systems design, such as ...

Tenex.AI Inc

Software Engineer

Sarasota, FL · On-site

Experience with at least one backend programming language such as Go, Python, or an equivalent ... Exposure to AI/ML concepts and technologies, such as: * Prompt Engineering * Retrieval-Augmented ...

Tenex

Principal AI Engineer

Sarasota, FL · On-site

$180 - $240/hr

... robust ML and rule-based detections. * Push the frontier --experiment with retrieval-augmented ... Python, Go, Rust, or Java). * Deep knowledge of LLM architecture, prompt engineering, and Vector ...

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Nokomis, FL

Python Ml Developer information

See Nokomis, FL salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for python ml developer in Nokomis, FL is $55.16, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $62.64 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 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 job categories do people searching Python Ml Developer jobs in Nokomis, FL look for?

The top searched job categories for Python Ml Developer jobs in Nokomis, FL are:

What cities near Nokomis, FL are hiring for Python Ml Developer jobs?

Cities near Nokomis, FL with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Nokomis, FL as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 11% Part Time, and 9% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $114,723 per year, or $55.2 per hour.

Senior Python Engineer ID84679

Port Charlotte, FL • On-site

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

$108K - $146K/yr

Full-time

Posted 4 days ago

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Python Engineer to build and maintain data pipelines that merge machine learning algorithms with real-world user data to optimize the delivery of SEO link content and improve job seeker traffic through better page rankings. You will integrate backend Python applications with data stored in Snowflake or Databricks, ensure data quality and pipeline reliability across MySQL and PostgreSQL environments, and collaborate with SEO experts and data scientists to align technical work with organic growth goals. The role requires 4+ years of backend Python engineering experience with production-quality code and CI/CD practices.
WHAT YOU WILL DO
- Build and maintain data pipelines that collect and process real-world user data;
- Integrate machine learning algorithms into data pipelines to automate and improve the delivery of SEO links;
- Use data to optimize content, with the main goal of improving page rankings and increasing job seeker traffic;
- Monitor data pipelines to ensure data is accurate, reliable, and processed without errors;
- Collaborate with SEO experts and data scientists to align technical solutions with website growth goals.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of experience as a Software Engineer;
- Strong hands-on experience building and maintaining backend applications in Python;
- Experience with unit testing frameworks, CI/CD pipelines, version control, and writing maintainable, production-quality code;
- Experience with MySQL and PostgreSQL;
- Basic understanding of HTML and React (not the primary focus);
- Experience integrating applications with data stored in Snowflake or Databricks to support backend applications and services;
- Upper-intermediate English level.
NICE TO HAVES
- Experience with workflow orchestration tools such as Airflow;
- Experience with MongoDB and MongoDB Atlas;
- AWS experience.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location

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