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Machine Learning Engineer Hybrid Jobs in Lutz, FL

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

You will work with the AI and Machine Learning team to develop machine learning or deep-learning ... This is a hybrid position, working in the office 3 days a week. WHAT YOU'LL DO * Implement scaled ...

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

You will work with the AI and Machine Learning team to develop machine learning or deep-learning ... This is a hybrid position, working in the office 3 days a week. WHAT YOU'LL DO * Implement scaled ...

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 ...

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 ... Our hybrid work schedule is four days on-site and work remotely one day per week. MUFG Benefits ...

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 ...

Tetra Tech

Civil Engineer (Hybrid)

Tampa, FL · Hybrid

$110K - $150K/yr

... Civil Engineer to our Power Division team in Tampa, Florida (hybrid). Why Tetra Tech: At Tetra ... Learning and development opportunities for ongoing professional growth. About Tetra Tech: Tetra ...

Tetra Tech, Inc.

Civil Engineer (Hybrid)

Tampa, FL · On-site

$110K - $150K/yr

... Civil Engineer to our Power Division team in Tampa, Florida (hybrid). Why Tetra Tech: At Tetra ... Learning and development opportunities for ongoing professional growth. About Tetra Tech: Tetra ...

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All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Lutz, FL

Machine Learning Engineer Hybrid information

See Lutz, FL salary details

$28.6K

$117.1K

$176K

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

As of Aug 26, 2026, the average yearly pay for machine learning engineer hybrid in Lutz, FL is $117,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $140,900.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

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

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

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

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

Machine Learning Engineer Hybrid jobs near you

Data Scientist

Tampa, FL • Hybrid

Revenue Management Solutions
See more jobs at Revenue Management Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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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