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Junior Machine Learning Jobs in Florida (NOW HIRING)

University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... Mentor junior statisticians, faculty, trainees, and research staff. * Participate in abstract ...

The University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... Mentor junior statisticians, faculty, trainees, and research staff. * Participate in abstract ...

NLP Logix

Client Operations Intern

Jacksonville, FL · On-site

$20/hr

You will gain hands-on experience supporting real-world artificial intelligence, machine learning ... Currently a Junior or Senior pursuing a bachelor's degree, preferably in Business Administration ...

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... machine learning, and product initiatives • Ensure data quality, integrity, security, and ... junior data engineers through technical guidance and knowledge sharing • Contribute to ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

... machine learning algorithms and predictive modeling to solve complex business problems - Creating ... junior team members and fostering a collaborative team environment What You Must Have - At least a ...

Pwc

CTIO AI Engineering Manager

Miami, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

CTIO AI Engineering Manager

Jacksonville, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

CTIO AI Engineering Manager

Tampa, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

Pwc

Payer Healthcare Data Scientist, Manager

Tampa, FL · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

Winaxis

Snowflake Engineer/ Architect

Miami, FL · On-site

... to junior data engineers. - Design and oversee efficient ETL/ELT processes using Snowflake and ... machine learning models in Azure and Snowflake. - Maintain strong knowledge of data security ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Florida

Junior Machine Learning information

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 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 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 are the key skills and qualifications needed to thrive as a junior machine learning engineer?

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 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 Junior Machine Learning jobs in Florida? For Junior Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Florida look for? The top searched job categories for Junior 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:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Science & Analytics Technical Lead

Agile Defense

Tampa, FL • On-site

Other

Re-posted 11 days ago

Job description

About Agile Defense
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.
Requisition #: 1706
Job Title: Data Science & Analytics Technical Lead
Location: Tampa, FL
Clearance Level: Top Secret / SCI, Must Have Clearance to Start
Job Description
The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
Job Duties:
  • Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
  • Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.
  • Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
  • Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
  • Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
  • Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
  • Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
  • Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.

Education and Background
  • Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience
5+ years
Required Skills
  • The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
  • Have active active TS/SCI clearance

Preferred Skills
  • Five years of experience working in SOF analytical support
  • Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon
  • Three years experience with SOF digital capabilities
  • Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command

Working Conditions
General Office Environment
Our Core Values
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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