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Machine Learning Engineer Python Jobs in Tampa, FL

Deloitte

AI Solutions Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Paychex

Data Solutions Engineer

Saint Petersburg, FL · On-site

$98K - $160K/yr

Advanced Python Application Development - Hands-on experience developing enterprise-grade ... Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering.

Elevance Health

Distinguished AI Engineer

Tampa, FL · On-site +1

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... Experience designing, developing, and maintaining software solutions using Python, Java, or ...

Deloitte

Senior AI Engineer - SFL Scientific

Tampa, FL

$98K - $135K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Python, SQL, PowerShell, etc. * 2+ years of experience managing teams in technical delivery and ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Tampa, FL

Machine Learning Engineer Python information

See Tampa, FL salary details

$21.7K

$132.3K

$191.4K

How much do machine learning engineer python jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer python in Tampa, FL is $132,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $155,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What are popular job titles related to Machine Learning Engineer Python jobs in Tampa, FL? For Machine Learning Engineer Python jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Tampa, FL look for? The top searched job categories for Machine Learning Engineer Python jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Machine Learning Engineer Python jobs? Cities near Tampa, FL with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Tampa, FL as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,275 per year, or $63.6 per hour.
Senior Data Engineer PySpark Python

Senior Data Engineer PySpark Python

Rose International

Tampa, FL • On-site

$104K - $125K/yr

Other

Posted 4 days ago

Job description

Date Posted: 07/09/2026
Hiring Organization: Rose International
Position Number: 503944
Industry: Financial Services
Job Title: Senior Data Engineer PySpark Python
Job Location: Tampa, FL, USA, 33612
Work Model: Hybrid
Work Model Details: Hybrid -3 days onsite and 2 days remote
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 65.00
Max Hourly Rate($): 77.00
Must Have Skills/Attributes: Big Data, Hadoop, PySpark, Python, Spark, SQL
Experience Desired: Experience in data pipelines and applications using Python, PySpark (10 yrs); Expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) (10 yrs); Write complex SQL queries and stored procedures (10 yrs); Develop and enhance ETL (Extract, Transform, Load) (10 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
Required Education:
Bachelor's degree/University degree or equivalent experience
Preferred Education
Master's degree preferred
Required Qualifications:
Expert-level proficiency in Python programming, including object-oriented design, data structures, algorithms, and extensive experience with various Python libraries.
Deep expertise in developing, optimizing, and deploying PySpark applications for large-scale data processing, ETL, and real-time analytics on distributed systems (e.g., Spark SQL, Spark Streaming, DataFrames).
Strong understanding of Apache Spark architecture, Hadoop ecosystem, and experience with distributed computing concepts. Familiarity with big data storage formats (e.g., Parquet, ORC).
Solid experience with both relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB). Strong SQL writing and optimization skills.
Experience in designing, developing, and consuming RESTful APIs using Python frameworks (e.g., Flask, FastAPI, Django REST Framework).
Strong understanding and practical experience with CI/CD tools (e.g., Jenkins) and containerization technologies (Docker, Kubernetes).
Expert-level proficiency with Git.
Experience with unit testing (e.g., Pytest), integration testing, and performance testing frameworks for Python and PySpark applications.
Exposure to or direct experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts, frameworks (e.g., TensorFlow, PyTorch), or relevant projects is a significant advantage
Preferred Qualifications:
Exposure to at least one major cloud provider (AWS, Azure, or Google Cloud Platform), specifically with their compute, storage, and data services (e.g., S3, ADLS, EMR, Databricks, Azure Synapse) preferred.
Soft Skills:
Exceptional analytical and problem-solving abilities, with a strong capacity to understand complex business needs and translate them into effective technical solutions.
Excellent leadership, team management, and mentoring capabilities.
Superior verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
Strong collaboration and interpersonal skills, with a proven ability to work effectively with cross-functional teams.
Highly proactive, results-oriented, and a strong commitment to delivering high-quality, innovative solutions.
Ability to thrive and lead in an agile, dynamic, and fast-paced work environment.
We are seeking a highly skilled and experienced Senior PySpark Developer to join our dynamic technology team. This role requires an individual with deep expertise in Python, PySpark, Big Data technologies, and SQL, coupled with a strong ability to work independently and contribute significantly to complex data engineering initiatives. The ideal candidate will have a proven track record in designing, developing, and optimizing scalable data solutions, with experience in ETL processes and a keen interest in leveraging the latest technologies. Domain knowledge in Finance will be a significant advantage, enabling the candidate to contribute to critical financial crime compliance projects.
Job Overview:
Design, develop, and implement robust, scalable, and high-performance data pipelines and applications using Python, PySpark, and Big Data technologies.
Work autonomously to analyze requirements, propose technical solutions, and deliver high-quality code and data products, ensuring alignment with architectural standards and business objectives.
Utilize expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) to process, transform, and manage large datasets efficiently.
Write complex SQL queries, stored procedures, and optimize database performance for large-scale data warehousing and analytics solutions.
Develop and enhance ETL (Extract, Transform, Load) processes to ensure data quality, integrity, and timely delivery. Experience with various ETL tools and methodologies is a plus.
Proactively research, evaluate, and integrate new and emerging technologies, frameworks, and tools to improve development processes and solution capabilities.
Ensure adherence to coding standards, conduct thorough code reviews, and implement best practices for software development, data governance, and security.
Diagnose and resolve complex technical issues related to data pipelines, performance bottlenecks, and system integrations in a fast-paced environment.
Collaborate effectively with cross-functional teams including architects, data scientists, business analysts, and QA engineers. Provide technical guidance and mentorship to junior team members.
Identify opportunities to use AI tools to speed up development, code reviews, unit testing and deployment.
#CT1
  • **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

  • **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

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