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Machine Learning Testing Jobs in Florida (NOW HIRING)

PODS

Engineer II - Machine Learning

Clearwater, FL · On-site

$101K - $121K/yr

JOB SUMMARY The Data Engineer- Machine Learning is responsible for scaling a modern data & AI stack ... testing frameworks • Marketing analytics domain familiarity (lead scoring, propensity, LTV ...

OneBlood

AI & Machine Lrng Engr

Saint Petersburg, FL · On-site

Strong working knowledge of machine learning methodologies, including supervised learning (e.g ... Expertise in probability and statistics, including experimental design and hypothesis testing ...

Disys

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... and testing. Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel approaches to solve challenging problems using Machine Learning, Big Data and Cloud ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... testing. • Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel • approaches to solve challenging problems using Machine Learning, Big Data and Cloud • ...

Worldpay, Inc.

Data Scientist Lead

Jacksonville, FL

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate ...

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Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Sep 12, 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.

What is a machine learning testing?

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 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.

What are the key skills and qualifications needed to thrive in machine learning testing, 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.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

What are popular job titles related to Machine Learning Testing jobs in Florida?

For Machine Learning Testing jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Machine Learning Testing jobs in Florida look for?

The top searched job categories for Machine Learning Testing jobs in Florida are:

Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.

Senior Machine Learning Engineer

West Palm Beach, FL • On-site, Remote

ServiceNow
IT Services • 5 - 10K employees
Learn more about ServiceNowexternal

$118K - $156K/yr

Full-time

Posted 16 days ago

Key responsibilities

  • Build cloud-based AI/ML solutions to power intelligent enterprise services

  • Collaborate with team members to develop, test, and deliver high-quality software solutions

  • Work with product owners to understand requirements and own the implementation of solutions

ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

What you get to do in this role:

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
Qualifications

To be successful in this role you have:

  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004

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