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Senior Machine Learning Engineer Jobs in Tampa, FL

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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 ...

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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 ...

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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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 Aug 16, 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 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 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 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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $119,598 per year, or $57.5 per hour.

Machine Learning Engineer

Revenue Management Solutions

Tampa, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job 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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