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Machine Learning Engineer Python Jobs in Tampa, FL

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Software Guidance & Assistance

Jr. Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Develop end-to-end Machine Learning prototypes and scale them to run in production environments ... Support projects and provide project status updates to project manager or Sr. Engineer * Partner ...

New

Varsity Tutors

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Proficiency with Python frameworks such as Django and Flask ... Extensive experience with machine learning libraries and frameworks, including PyTorch and ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

Will work closely with engineering, product, data science, and business teams to translate complex ... Experience with Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

Will work closely with engineering, product, data science, and business teams to translate complex ... Experience with Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow ...

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Machine Learning Engineer Python information

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$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.

Future Opening: Machine Learning Engineer - Mid

Silverthorne Advisory Group

Tampa, FL • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Silverthorne Advisory Group is seeking a Mid Machine Learning Engineer to support DoD program offices. The role involves training, testing, deploying, and maintaining machine learning models while collaborating with cross-functional teams to deliver solutions.
Responsibilities:
• Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
• Optimize machine learning algorithms.
• Contribute to building an infrastructure that facilitates end-to-end ML workflows.
• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch.
• Explore new technologies like quantum engineering for advanced model development.
• Collaborate with cross-functional teams to enhance data processing pipelines.
• Communicate and coordinate with teams to accomplish objectives and deliver excellence.
Qualifications:
Required:
• Top Secret clearance required (can be sponsored).
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• 4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
• Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
• Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
Preferred:
• Recent DoD or IC-related experience.
• Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
• Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra.
• Experience in working in an agile development environment.
Company:
Silverthorne Advisory Group is a data, cloud engineering, management and IT consulting firm. Founded in 2016, the company is headquartered in Arlington, VA, US, , with a team of 11-50 employees. The company is currently Early Stage.

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