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Machine Learning Testing Jobs in Florida (NOW HIRING)

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data ... Advocates a testing first strategy to integrate A/B testing into all levels of product development.

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

AI Machine Learning Scientist Location : This role requires associates to be in-office 1-2 days per ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

... testing, and observability • Partner with data science to productionize pricing models and build robust model-serving pipelines • Drive reliability, latency, and scalability improvements across ...

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Machine Learning Testing information

See Florida salary details

$10

$17

$23

How much do machine learning testing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for machine learning testing in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning testing roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and company size, but they tend to be higher than average for tech-related positions.

What jobs pay $2000 a day?

In the field of machine learning testing, highly specialized roles such as senior machine learning engineers, AI research consultants, or freelance experts with advanced skills and certifications can command daily rates of $2000 or more. These positions typically require extensive experience, strong technical knowledge, and often involve consulting or contract work for organizations seeking advanced AI solutions.

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

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

How much do AI testers get paid?

AI testers, a role within machine learning testing, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with skills in programming, data analysis, and testing tools can earn higher wages.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Machine Learning Testing jobs in Florida? The most popular types of Machine Learning Testing jobs in Florida are:

Sr. Machine Learning Engineer

Omni Inclusive

Boca Raton, FL • On-site

$98K - $135K/yr

Other

Posted 11 days ago


Job description

Job Title

Mandatory skills - A blend of person who is familiar with Machine Learning Models, Docker, Container, Kubernetes, SQL, Excel, Power BI or Tableau

1. Build machine learning models in open-source packages like Python and deploy using cloud infrastructure available in AWS Sage maker Azure Client flow.

2. Understand the business requirement and suggest evaluating the right features and technique best suited to train and test the model.

Work on feature engineering to ensure most information going into the model for prediction accuracy.

3. Work with cloud architecture and digital development team to deploy the model online and offline.

4. Work with testing team to design the test online or offline and work towards improving the model based on test results.

5. Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models.

6. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created.