1

Machine Learning Contract Jobs in Florida (NOW HIRING)

Contract: W2 only, 12-month contract with potential for extension or full-time conversion * Pay ... The ideal candidate is someone who builds and supports the platform that enables machine learning ...

Contract: W2 only, 12-month contract with potential for extension or full-time conversion * Pay ... The ideal candidate is someone who builds and supports the platform that enables machine learning ...

Sr ML Engineer

Davie, FL · On-site

$95K - $131K/yr

Hybrid Davie, FL Duration: 6+months contract * 8+ years of Machine Learning Engineering or Applied AI experience. * 3+ years in a Lead, Principal, or Senior Technical Leadership role. * Proven ...

Tampa, FL (5 days Onsite) Duration: Long-term Contract * Perform detailed data annotation and ... Experience working with data annotation and machine learning pipeline management platforms and ...

Hiring for this position will be contingent on contract award. The SEFSC Advanced Technology and ... Support or lead the development of machine-learning detectors and classifiers for sensor data.

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities Design interfaces to the data warehouses/data storages and machine learning/Big Data applications ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities • Design interfaces to the data warehouses/data storages and machine learning/Big Data • ...

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

Showing results 21-40

Machine Learning Contract information

See Florida salary details

$10

$17

$23

How much do machine learning contract jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for machine learning contract in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

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

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

What are popular job titles related to Machine Learning Contract jobs in Florida?

For Machine Learning Contract jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Florida look for?

The top searched job categories for Machine Learning Contract jobs in Florida are:

What cities in Florida are hiring for Machine Learning Contract jobs?

Cities in Florida with the most Machine Learning Contract job openings:

Infographic showing various Machine Learning Contract 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 $35,472 per year, or $17.1 per hour.

Senior Data Scientist / AI Machine Learning Research Engineer

Sarasota, FL • On-site

$82K - $172K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

Job Title: Senior Data Scientist / AI Machine Learning Research Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 1/1/2100 The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain.

Responsibilities: 1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries. 2.

Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. 3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment

4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 5

Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles. Qualifications: Required: Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience. Experience developing models,.

Strong background in machine learning, mathematics and statistics. Comfortable using Linux operating systems and commonly used Linux utilities. Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph Desired: Ph.D

in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics. Experience applying machine learning to signal processing and/or other time-series data analysis applications. Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.

Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance. Active Top Secret/SCI clearance preferred. - What You Can Expect: A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.