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Applied Intelligence Jobs in Florida (NOW HIRING)

Monitise

AI - Product Owner

Jacksonville, FL · On-site

As an AI Product Owner within Finxact Experience, you will help shape the next generation of Finxact's Applied Intelligence capabilities. You will partner closely with Product, Engineering, Design ...

SolGenie

Business Intelligence Manager

Sarasota, FL · On-site

Business Intelligence Manager Experience Required: 10+ Years Work Mode: Onsite Location: Sarasota ... applied; participating in all phases, as well as ensuring appropriate test plans are established ...

Wood Plc

Process Controls Designer

Bradenton, FL · On-site

Overview / Responsibilities Wood Applied Intelligence- Automation and Controls is recruiting for an immediate need for a Process Controls Designer to join our team in Bradenton, FL. Individual must ...

Wood Plc

Lead Process Controls Engineer

Bradenton, FL · On-site

$75K - $97K/yr

Overview / Responsibilities Wood Applied Intelligence- Automation and Controls is recruiting for an immediate need for a Lead Process Controls Engineer to join our team in Bradenton, FL. Individual ...

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Applied Intelligence information

See Florida salary details

$34K

$78.2K

$107.6K

How much do applied intelligence jobs pay per year?

As of Sep 12, 2026, the average yearly pay for applied intelligence in Florida is $78,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $88,600.00 per year, depending on experience, location, and employer.

What is an applied intelligence?

An Applied Intelligence job focuses on leveraging data, analytics, AI, and automation to solve business challenges and drive decision-making. Professionals in this role work with advanced technologies to analyze trends, optimize processes, and improve efficiency. They collaborate with teams across various industries to develop data-driven strategies and innovative solutions. Typical responsibilities may include machine learning model development, data visualization, and business intelligence reporting. This role is ideal for individuals with strong analytical, problem-solving, and technical skills.

What are the typical projects and responsibilities for an applied intelligence role?

In an Applied Intelligence role, you will typically work on projects that involve analyzing large datasets, developing predictive models, and generating actionable insights to solve real business challenges. Daily responsibilities may include collaborating with cross-functional teams, building dashboards and reports, and presenting findings to stakeholders. You'll often partner closely with IT, marketing, operations, and executive leadership to ensure that data-driven recommendations align with organizational objectives. This role offers exposure to various industries and processes, making it ideal for those interested in both analytics and business strategy. Over time, strong performers can advance to leadership positions or specialized roles in data science or business analytics.

What are the key skills and qualifications needed to thrive in the applied intelligence position, and why are they important?

To thrive as an Applied Intelligence professional, you need a strong background in data analytics, problem-solving, and business strategy, often with a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (like SQL, Python, R), business intelligence platforms (such as Power BI or Tableau), and certifications in analytics or project management are commonly required. Excellent communication, adaptability, and collaborative skills are essential to translate complex insights into actionable business solutions. These skills are crucial for effectively driving data-driven initiatives that help organizations achieve strategic goals.

What are popular job titles related to Applied Intelligence jobs in Florida?

For Applied Intelligence jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Applied Intelligence jobs in Florida look for?

The top searched job categories for Applied Intelligence jobs in Florida are:

Applied Intelligence jobs near you
Infographic showing various Applied Intelligence job openings in Florida as of September 2026, with employment types broken down into 63% Full Time, 20% Part Time, and 17% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $78,199 per year, or $37.6 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Miami)

Miami, FL • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Northeastern Universityexternal

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Application will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate for this position is $1,569.00.

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