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Entry Level Deep Learning Jobs in Florida (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Data Scientist Develop and communicate a deep understanding of client needs, perform analytical ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical ...

Avenue Z

Public Relations Junior Associate

Miami, FL · On-site

$60K - $65K/yr

We are driven by a deep passion for our craft and an unwavering commitment to integrity in ... This entry-level position offers the opportunity to work with experienced professionals on ...

SG Development & Consulting, Inc.

Be Seen First

Plumber's Helper

Jacksonville, FL · On-site

$21 - $28/hr

This entry-level role involves hands-on support, learning trade skills, and ensuring job sites are ... and deep industry expertise, delivering high-quality construction solutions to clients across a ...

Veteran-friendly

BBG, INC.

Commercial Real Estate Analyst

Pensacola, FL · On-site

Description This entry-level Analyst opportunity offers on-the-job learning and, an education on ... deep understanding of real-estate finance, from acquisition to disposition. BBG provides equal ...

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All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Florida

Entry Level Deep Learning information

See Florida salary details

$16.3K

$71K

$156.5K

How much do entry level deep learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level deep learning in Florida is $71,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,270.00 and $118,294.00 per year, depending on experience, location, and employer.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

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

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are the most commonly searched types of Deep Learning jobs in Florida?

The most popular types of Deep Learning jobs in Florida are:

What are popular job titles related to Entry Level Deep Learning jobs in Florida?

For Entry Level Deep Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Entry Level Deep Learning jobs in Florida look for?

The top searched job categories for Entry Level Deep Learning jobs in Florida are:

Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,033 per year, or $34.2 per hour.

Data Scientist

Noblesoft Solutions

Jacksonville, FL

Contractor

Re-posted 12 days ago

Job description

Company Description

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.

Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.

Our History

After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.

Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Possessing a solid machine learning foundation
Proven record of successful statistical product delivery
Ability to execute health insurance use cases via statistical applications such as R or Python 
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) 
Significant experience with SQL and working with large datasets required
Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point

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