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Entry Level Machine Learning Engineer Jobs in Wesley Chapel, FL

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning algorithms and predictive modeling to solve complex business problems - Creating ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Architect with Security Clearance

Tampa, FL · On-site

$60.25 - $77.50/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Experience creating, maintaining, and ...

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Experience creating, maintaining, and ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

New

Graduate Engineer- Electrical

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of experience ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

AI Solutions Developer

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

AI Agent & Automation Developer

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer and manage context for agents to ensure they access the right information at the right ... Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. * Proven ...

This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects. Responsibilities include but are not limited to: * Quantitative analysis ...

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Experience creating, maintaining, and ...

Showing results 41-60

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 15, 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 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 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 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 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:

Infographic showing various Entry Level Machine Learning Engineer job openings in Wesley Chapel, FL as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 70% In-person, 14% Hybrid, and 16% Remote job distribution, with an average salary of $60,357 per year, or $29 per hour.

AIT - AI Data Scientist Senior Associate

Pwc

Tampa, FL • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow.
In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while maintaining professional and technical standards. This position offers a chance to deepen your understanding of the business context and how it is evolving, as well as to develop self-awareness and address development areas. You will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Utilizing machine learning algorithms and predictive modeling to solve complex business problems
- Creating data visualizations to effectively communicate insights and drive data-driven decisions
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Managing data pipelines and confirming data quality and integrity throughout the analysis process
- Applying data science workflows and troubleshooting techniques to optimize performance
- Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
- Mentoring junior team members and fostering a collaborative team environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging experience with data engineering and data pipelines
- Applying knowledge of natural language processing and neural networks
- Navigating ambiguity while building meaningful client relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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