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Machine Learning Engineer Jobs in Tampa, FL (NOW HIRING)

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

... engineering and model development * Engage and support internal teams to articulate processes and results SKILLS AND QUALIFICATIONS * Working Knowledge of statistics, machine learning/deep - learning ...

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

... engineering and model development * Engage and support internal teams to articulate processes and results SKILLS AND QUALIFICATIONS * Working Knowledge of statistics, machine learning/deep - learning ...

Crowe LLP

Machine Learning Engineer

Tampa, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Five (5) or more years of experience in data engineering, data science, or a related role, with hands-on experience in building and deploying machine learning models. CERTIFICATES, LICENSES ...

MUFG

Senior Security Engineer - AI, Vice President

Tampa, FL · Hybrid

$108K - $148K/yr

Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify ... Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing ...

Varsity Tutors

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Will work closely with engineering, product, data science, and business teams to translate complex ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per ... Will work closely with engineering, product, data science, and business teams to translate complex ...

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Showing results 1-20

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

Machine Learning Engineer information

See Tampa, FL salary details

$29.8K

$121.7K

$182.9K

How much do machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning engineer in Tampa, FL is $121,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Tampa, FL?

The most popular types of Machine Learning Engineer jobs in Tampa, FL are:

What are popular job titles related to Machine Learning Engineer jobs in Tampa, FL?

For Machine Learning Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Tampa, FL look for?

The top searched job categories for Machine Learning Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Machine Learning Engineer jobs?

Cities near Tampa, FL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,689 per year, or $58.5 per hour.

Data Scientist

Revenue Management Solutions

Tampa, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

THE OPPORTUNITY

As a Data Scientist, you will have the opportunity to learn and apply RMS’ methodologies to solve analytical problems critical to driving high-end business value to our clients.  This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL. 

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.


WHO YOU’LL WORK WITH

You’ll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques.  We take pride in encouraging each other’s career ambitions and you’ll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week. 

WHAT YOU’LL DO

  • Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
  • Create project plans, test various approaches, and evaluate results to answer key business questions
  • Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
  • Develop documentation outlining methodology, feature engineering and model development 
  • Engage and support internal teams to articulate processes and results 


SKILLS AND QUALIFICATIONS

  • Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
  • Hands on experience coding in Python
  • Experience working with large data sets
  • Practical experience with Git and use of repositories for source control
  • Strong interpersonal and communication skills, both verbal and written
  • Ability to effectively manage simultaneous projects and deadlines
  • Bachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required 


PREFERRED

  • Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering  

BENEFITS

as a full-time RMS Employee, you will be eligible for:

  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  •  Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE

Revenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands—representing more than 100,000 restaurants worldwide—rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.

Learn more at revenuemanage.com.

WHAT WE BELIEVE

Our goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.

Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law.

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