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Machine Learning Contract Jobs in Florida (NOW HIRING)

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... None Position Contingent Upon Contract Award: Yes Salary Range $73,923.20-$131,331.20 USD REAL ID ...

... and machine learning. The work environment is fast-paced, production-focused, and team-oriented ... Contract/Temporary. - Location: Lake Mary, FL. - Work Arrangement: 100% on-site. - Schedule: Monday ...

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 • ...

Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN ... Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ...

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Machine Learning Contract information

See Florida salary details

$10

$17

$23

How much do machine learning contract jobs pay per hour?

As of Jun 22, 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 job?

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 key skills and qualifications needed to thrive in the Machine Learning Contract position, 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 typical responsibilities and workflow for a Machine Learning Contract position?

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 most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning 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 June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL

Other

Posted yesterday


Job description

ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 2 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
        The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen
 

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes