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Home Based Python Machine Learning Jobs in Lutz, FL

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Principal Responsibilities Design interfaces to the data warehouses/data storages and machine learning/Big Data applications using open source tools such as Scala, Java, Python, Perl and shell ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Principal Responsibilities • Design interfaces to the data warehouses/data storages and machine learning/Big Data • applications using open source tools such as Scala, Java, Python, Perl and ...

Required : • 3+ years of relevant hands-on experience • Experience building and maintaining machine learning pipelines • Strong Python skills for defining and maintaining ML pipelines • ...

Expert Python developer using many different machine learning and data science frameworks including TensorFlow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and ...

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to ... based on agile business priorities and initiatives • Participate in architectural and deployment ...

... machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and ... based environments (e.g., AWS, Azure, Palantir Foundry). • Strong understanding of data ...

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Home Based Python Machine Learning information

See Lutz, FL salary details

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How much do home based python machine learning jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for home based python machine learning in Lutz, FL is $53.31, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $60.53 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Lutz, FL? For Home Based Python Machine Learning jobs in Lutz, FL, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Lutz, FL look for? The top searched job categories for Home Based Python Machine Learning jobs in Lutz, FL are:
What cities near Lutz, FL are hiring for Home Based Python Machine Learning jobs? Cities near Lutz, FL with the most Home Based Python Machine Learning job openings:

Experienced Software Engineer Java / Python (Full Stack or Back End)

JPMorganChase

Tampa, FL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. The Experienced Software Engineer will be part of an agile team responsible for designing and delivering scalable technology products, utilizing Java or Python to improve banking systems and customer experiences.
Responsibilities:
• Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
Qualifications:
Required:
• Hands-on practical experience in system design, application development, testing and operational stability
• Proficient in coding in Java or Python languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred:
• Familiarity with modern front-end technologies
• Exposure to cloud technologies
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.