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Machine Learning Jobs in Jacksonville, FL (NOW HIRING)

NLP Logix

Agile Delivery Manager

Jacksonville, FL · On-site

NLP Logix is seeking an Agile Delivery Manager to help drive successful client delivery across technology, analytics, AI, machine learning, and data-focused projects. This role combines Scrum Master ...

Pwc

AI & GenAI Data Scientist-Director

Jacksonville, FL · On-site

$155K - $410K/yr

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

NLP Logix

Agile Delivery Manager

Jacksonville, FL · On-site

$90K - $115K/yr

Work on client-facing technology and data-driven delivery, including analytics, AI, machine learning, software, and cross-functional product work. * Operate at both the Agile team level and the ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Jacksonville, FL

Machine Learning information

See Jacksonville, FL salary details

$23.6K

$39.5K

$81.5K

How much do machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning in Jacksonville, FL is $39,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Jacksonville, FL? The most popular types of Machine Learning jobs in Jacksonville, FL are:
What are popular job titles related to Machine Learning jobs in Jacksonville, FL? For Machine Learning jobs in Jacksonville, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Jacksonville, FL look for? The top searched job categories for Machine Learning jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Machine Learning jobs? Cities near Jacksonville, FL with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,456 per year, or $19 per hour.

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 25 days ago

Job description

Local to Cary NC only!
Key Responsibilities:
• Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
• Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
• Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
• Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
• Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
• Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
• Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
• Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
• Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
• Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
• ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Essential Business Experience and Technical Skills:
Required:
• Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• 8+ years of overall experience in AI/ML engineering and/or data science.
• 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
• Proven experience designing, deploying, and operating production ML and/ or GenAI solutions, including APIs, batch, and real-time inference.
• Experience in developing Machine Learning models using Python (preferably in the cloud)
• Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
• Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
• Experience with Dominos, Power BI, and/or Azure ML
• Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
• Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
• Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
• Very good problem solver and excellent communication skills - both written and verbal
Preferred:
• Experience with employee benefits plans is a plus
• Hands-on experience with cloud platforms (Azure/Databricks).
• Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
• Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
• Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.
Role Descriptions: Data Science
Essential Skills: Data Science
Desirable Skills:
Keyword:
Skills: Digital : Data Science
Experience Required: 8-10

Apply