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Junior Machine Learning Engineer Jobs in Riverview, FL

MUFG

Senior Security Engineer - AI, Vice President

Tampa, FL · Hybrid

$108K - $148K/yr

Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify ... Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing ...

Varsity Tutors

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Deloitte

Senior AI Engineer - SFL Scientific

Tampa, FL

$98K - $135K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Pwc

AI Engineer

Tampa, FL · On-site

$55K - $187K/yr

... junior team members in AI implementation and data engineering practices What You Must Have - At ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

OneBlood

AI & Machine Lrng Engr

Saint Petersburg, FL · On-site

Five (5) or more years of experience in data engineering, data science, or a related role, with ... Strong working knowledge of machine learning methodologies, including supervised learning (e.g ...

Booz Allen Hamilton

Senior Data Engineer

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton

Data Engineer, Mid

Tampa, FL

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Riverview, FL

Junior Machine Learning Engineer information

See Riverview, FL salary details

$29.9K

$64K

$97.7K

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

As of Aug 6, 2026, the average yearly pay for junior machine learning engineer in Riverview, FL is $64,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $71,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What job categories do people searching Junior Machine Learning Engineer jobs in Riverview, FL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Riverview, FL are:
What cities near Riverview, FL are hiring for Junior Machine Learning Engineer jobs? Cities near Riverview, FL with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you

Machine Learning (ML) Engineer

Command Holdings

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

WWC Global, an operating firm of Command Holdings, is seeking a Machine Learning (ML) Engineer to serve on a potential contract supporting USSOCOM's mission to transform the SOF Enterprise into a decisive data-centric organization by applying scientific methods, algorithms, processes, and systems to extract actionable insights and knowledge from both structured and unstructured data, enabling the full spectrum of analysis, including descriptive, diagnostic, predictive, and prescriptive analytics.
Responsibilities may include, but are not limited to:
  • Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage.
  • Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time.
  • Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk.
  • Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows.
  • Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development.
  • Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies.
  • Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning.
  • Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process.
  • Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption.
  • Utilizing appropriate code share repositories (e.g., GitHub) for all development activities.

This position is contingent on contract award.
Work Environment:
  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
  • Ability to sit at a computer terminal for an extended period of time.

Physical Demands:
  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
  • Employee is often required to sit and use their hands and fingers to operate a computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:
  • 0-10% / Minimal travel.

WWC Global, an operating firm of Command Holdings, is a tribally-owned firm providing management consulting services to U.S. government agencies.
Pursuant to PL 93-638, as amended, preference will be given to qualified Native Americans and spouses in all phases of employment.
At WWC Global, our employees are the embodiment of our success as a firm. Our team is comprised of a tenacious group of professionals located across the globe. It includes military veterans and spouses of active duty troops, former federal employees, policy experts, academics, attorneys, and technical and business experts, all of whom share a strong work ethic and the skills to succeed in both collaborative and independent environments. WWC Global is invested in the long-term success of both our clients and colleagues for the right reasons. Our dedication to putting good government into practice is underpinned by a merit-based culture that measures success by productivity and credibility.
WWC Global will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to the Human Resources Team.
WWC Global is committed to equal employment opportunity based on merit. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law, and in accordance with EO 14173 and Federal Employment Laws: Equal Employment Opportunity and Employee Polygraph Protection Act.
WWC Global's Affirmative Action Program is available to any employee or applicant for employment for inspection upon request, to the extent required by federal regulations. The Affirmative Action Program can be accessed during normal business hours by making an appointment with the Human Resources Team.
Basic Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field.
  • Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments.
  • Current, active TS/SCI security clearance.
  • Outstanding communication skills, influencing abilities, and client focus.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id and at https://www.tsa.gov/travel/security-screening/identification.
  • Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position.

Preferred Requirements
  • Master's degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
  • Experience working in DoD or Intelligence Community environments.
  • Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations.
  • Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments.
  • Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases.
  • Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints.
  • One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification.

Benefits
WWC Global offers a competitive benefits plan including:
  • Health, Dental, and Vision Insurance
  • Flexible Spending Accounts
  • Life and Disability Insurance
  • 401(k)
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Pet Insurance

*Eligibility requirements apply
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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