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

Crowe LLP

Machine Learning Engineer

Tampa, FL

$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 ...

ClifyX

AI/ML Engineer

Tampa, FL · On-site

Responsibilities : • Design Enterprise Machine Learning platforms that are capable of running ... or senior leaders. • Solving complex problems with datasets and optimize existing Client ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models ... senior military officials. Your skills and extensive technical expertise will guide customers as ...

Booz Allen Hamilton

Senior Data Engineer

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models ... senior military officials. Your skills and extensive technical expertise will guide customers as ...

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All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Tampa, FL

Sr Machine Learning Engineer information

See Tampa, FL salary details

$56.2K

$119.6K

$173.4K

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

As of Aug 31, 2026, the average yearly pay for sr 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 is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

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

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

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

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

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

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

Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,598 per year, or $57.5 per hour.

Machine Learning Engineer

Revenue Management Solutions

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Description
THE OPPORTUNITY
As a machine learning engineer, 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 basic knowledge of Data Science methods and a strong, applied knowledge of Python and SQL. Experience deploying models in cloud-based environments is desired.
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 with as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. 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
  • Monitor model performance both pre- and post-deployment
  • Develop pipelines to collect, transform, and aggregate data
  • Work with CI/CD pipelines to create and deploy artifacts
  • Refactor code to perform efficiently in scaled environments
  • Creatively design solutions to analytical problems using quantitative and qualitative approaches to drive high-end business value
  • Develop and maintain documentation articulating methodology and architecture, as well as data dictionaries
  • Effectively and concisely articulate processes to internal parties

SKILLS AND QUALIFICATIONS
  • Strong knowledge with Python, including experience building custom packages
  • Experience with Scala or Spark will be considered an asset
  • Some cloud-based experience; Azure preferred
  • Ability to manage multiple projects independently
  • Working knowledge of statistics, machine learning and deep-learning algorithms
  • 2+ Years Experience
  • Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED
  • Graduate degree, or supplementary courses in Data Science, Data Engineering or Machine Learning

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
Now more than ever, Revenue Management Solutions (RMS) is committed to supporting restaurants through these ever-changing times. Today, more than 50 major brands in over 40 countries trust RMS for data-driven analytics and tech-enabled solutions to optimize sales, menus and a brand's financial health. Six of the top 10 US fast food brands and 16 of the top 30 global restaurant brands (equaling more than 100,000 restaurants) rely on RMS' software solutions and actionable insights to make informed business decisions that drive profitability and combat inflation and increasing wages. The company holds five US patents on menu pricing and customer segmentation and supports ongoing academic research efforts. For more information on how RMS helps its clients, visit revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create a positive change in the communities we inhabit. With over 20 countries represented throughout our offices, we respect and embrace different cultures, interests, and actions. The acknowledgment of our unique identities is something that connects us across continents to uphold our values of diversity, respect, and responsibility.

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