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Junior Machine Learning Jobs in Florida (NOW HIRING)

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Provide mentorship to junior ML engineers. A self-starter with excellent oral and written ...

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Conduct research and stay updated with the latest advancements in AI and machine learning. Provide technical guidance and mentorship to junior team members. Must-Have Skills 12+ Years of exp Strong ...

Lead Data Engineer

Miami, FL

$98K - $129.10K/yr

Collaborate with data scientists to implement machine learning and artificial intelligence ... Provide technical guidance and mentorship to junior team members * Work closely with cross ...

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Develop machine learning models for prediction or classification in support of a business use case ... Review Python code of junior colleagues. REQUIREMENTS: * Master's degree in Computer Science, MIS ...

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML ...

The Principal Data Scientist / Machine Learning Engineer will design and deliver practical ... Provide guidance and technical leadership to junior engineers, create high-performance and reusable ...

$180K - $210K/yr

Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model ... Mentor and share knowledge with peers and junior data scientists, fostering a culture of ...

DATA SCIENTIST LEAD

Tampa, FL · On-site +1

$104.05K - $169.08K/yr

... machine learning techniques like supervised, unsupervised and reinforcement learning). Mentors and trains junior and professional staff members. Data scientist lead for the Sight Outcomes Research ...

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Architect and implement Lakehouse capabilities, including AI/Machine Learning features and Vector ... Mentor junior engineers and contribute to best practices in data engineering.

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Architect and implement Lakehouse capabilities, including AI/Machine Learning features and Vector ... Mentor junior engineers and contribute to best practices in data engineering.

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Junior Machine Learning information

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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 Junior Machine Learning jobs? Cities in Florida with the most Junior Machine Learning job openings:
Infographic showing various Junior Machine Learning job openings in Florida as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 4% Temporary, 2% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

Other

Posted 7 days ago


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