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Senior Machine Learning Engineer Jobs in Tampa, FL

Revenue Management Solutions

Data Scientist

Tampa, FL · On-site

... Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to ... Develop documentation outlining methodology, feature engineering and model development * Engage and ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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 ...

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Senior Machine Learning Engineer information

See Tampa, FL salary details

$56.2K

$119.6K

$173.4K

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

As of Sep 3, 2026, the average yearly pay for senior machine learning engineer in Tampa, FL is $119,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $135,600.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Tampa, FL?

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

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

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

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

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior 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 $114,049 per year, or $54.8 per hour.

Data Scientist

Revenue Management Solutions

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

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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