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Artificial Intelligence Machine Learning Engineer Jobs in Gainesville, FL

Unless explicitly requested, the use of Artificial Intelligence (AI) tools to assist with ... D2 Intern Engineering Track - Transportation Associate This position will gain knowledge, skills ...

New

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Working experience with large language models, data science using EHRs, machine learning, data ... Work in an interdisciplinary team of informaticists, programmers, information quality experts ...

Robotics Tutor

Gainesville, FL · Remote

$18 - $40/hr

... engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Automation Engineer - JLL What this job involves: We are seeking an experienced Automation Engineer ... artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates ...

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Artificial Intelligence Machine Learning Engineer information

See Gainesville, FL salary details

$28.5K

$116.7K

$175.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for artificial intelligence machine learning engineer in Gainesville, FL is $116,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $140,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Gainesville, FL? For Artificial Intelligence Machine Learning Engineer jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Gainesville, FL look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Gainesville, FL with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Gainesville, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $116,665 per year, or $56.1 per hour.

Senior Director of Software Engineering

MBI LLC

Gainesville, FL • On-site

$229K/yr

Other

Posted 6 days ago


Job description

Job Title: Senior Director of Software Engineering
Location: Gainesville, FL 
Duration: 8–12 Weeks 

NOTE: 
In Person Interview Only
Onsite Position 

REQUIRED SKILLS
- Software Development
- DevOps / CI/CD
- Microsoft Azure
- Change Management
- Board / Executive Reporting
- Regulatory Compliance (HIPAA, PCI, etc.)
- API & Systems Integration
- AI / Machine Learning