ZipRecruiter

Log In

2

Entry Level Machine Learning Engineer Jobs in Wesley Chapel, FL

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 ...

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 ...

Booz Allen Hamilton

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Wesley Chapel, FL

Entry Level Machine Learning Engineer information

See Wesley Chapel, FL salary details

$26.1K

$60.4K

$102.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level machine learning engineer in Wesley Chapel, FL is $60,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $68,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

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

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

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Wesley Chapel, FL?

For Entry Level Machine Learning Engineer jobs in Wesley Chapel, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Wesley Chapel, FL look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Wesley Chapel, FL are:

What cities near Wesley Chapel, FL are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Wesley Chapel, FL with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Wesley Chapel, FL as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $60,357 per year, or $29 per hour.

Machine Learning Engineer

Revenue Management Solutions

Tampa, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 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.

Apply