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Senior Machine Learning Engineer Jobs in Florida

ENSCO, Inc.

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$88.40K - $121.40K/yr

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines ...

ENSCO

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$100K - $160K/yr

Position Description ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

Omni Inclusive

Sr. Machine Learning Engineer

Boca Raton, FL · On-site

$98.90K - $135.80K/yr

Job Title Mandatory skills - A blend of person who is familiar with Machine Learning Models, Docker ... Work on feature engineering to ensure most information going into the model for prediction accuracy ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Navstar

Machine Learning Engineer

Pembroke Pines, FL · On-site

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production--integrating agentic AI systems into our product. This role is engineering ...

New

Indeed

Machine Learning Engineer

Miami, FL · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

ENSCO

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

Citadel

Machine Learning Engineer

Miami, FL · On-site

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

SynergisticIT

Machine Learning Engineer

Tallahassee, FL · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Skills Required: * Passionate about search and AI technologies. Open to collaborating with ...

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Senior Machine Learning Engineer information

See Florida salary details

$44.5K

$94.6K

$137.1K

How much do senior machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior machine learning engineer in Florida is $94,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $107,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Florida? The most popular types of Machine Learning Engineer jobs in Florida are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Florida? For Senior Machine Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Florida look for? The top searched job categories for Senior Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Senior Machine Learning Engineer jobs? Cities in Florida with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Florida as of May 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $94,575 per year, or $45.5 per hour.
Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

$88.40K - $121.40K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

ENSCO, Inc. is seeking a Sr. 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 5 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        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.
        An Active Secret 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: Secret
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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