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Machine Learning Engineer Apprenticeship Jobs in Freeport, FL

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Machine Learning Engineer Apprenticeship information

See Freeport, FL salary details

$27.7K

$62.2K

$104.7K

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

As of Sep 12, 2026, the average yearly pay for machine learning engineer apprenticeship in Freeport, FL is $62,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $67,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

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

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What cities near Freeport, FL are hiring for Machine Learning Engineer Apprenticeship jobs?

Cities near Freeport, FL with the most Machine Learning Engineer Apprenticeship job openings:

Infographic showing various Machine Learning Engineer Apprenticeship job openings in Freeport, FL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $62,223 per year, or $29.9 per hour.

System Engineer

Fort Walton Beach, FL • On-site

$105K - $120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Jefferson is seeking Systems Engineer to support the USAF 505th Test and Training Group.

This role will be Onsite at Hurlburt Field, Florida

This candidate will upgrade, integrate, install, configure, test, maintain, dismantle, and turn in data and video communication networks, both hardware and software. These responsibilities include understanding of the interconnectivity of wireless, fiber optics, coaxial, copper (twisted pair), broadband, and baseband.

The annual salary range for this position is $105,000.00-$120,000.00. The annual salary range is negotiable. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

At Jefferson, we are not just building a team; we are cultivating a community of exceptional individuals driven by a shared passion for innovation and excellence. Joining the Jefferson team means stepping into an environment that values collaboration, encourages creative thinking, and celebrates individual strengths. Here, you’ll find a vibrant culture that fosters sharing and connectedness where careers are nurtured, exciting and meaningful work is encouraged, and continuous learning from the smartest people in the industry.

Our commitment to unlocking your potential goes beyond conventional career paths, offering a dynamic and supportive space where your ideas are not just heard but valued. Join us at Jefferson, where your career becomes a journey of continuous advancement, and your talents find the platform they deserve.

Responsibilities
  • Monitor, test, analyze, maintain, and operate line-of-sight, SATCOM, remote radio equipment, and various forms of radio interfacing equipment
  • Analyzes Data Link and Radio equipment utilization statistics through data collection and performance measures to ensure smooth, reliable, robust operations.
  • Maintain software licenses and warranty information
  • Ensures current Data Link and Radio Equipment is compatible with system configurations and ensures operability, efficiency, and compliance with existing standards
  • Troubleshoots operation of the Data Link and Radio equipment and ensures hardware and operating software are functioning properly and that operation stands are met.
  • Function tests system components to identify and resolve technical problems, analyzes system malfunctions, implements necessary corrective actions, and provides ongoing support for the resolution of problems and operating malfunctions
  • Preform system backups as required to ensure expedient restoration for the database for the respective Data Link and Radio equipment
  • Document all technical procedures and user guides
  • Ensure and maintain a 98% uptime
  • Ensure AOC systems are available 2 days prior to course execution or as directed
  • Provide Systems Platform Engineering support in the following areas:
    • Mission System Integration learn the architecture of the Falconer Weapon System. Responsible for developing and executing strategies to integrate its current and emerging technologies with the core infrastructure platform.
    • Virtual Infrastructure Management: design, deploy, and manage the enterprise virtualization environment (e.g., VMware vSphere/ESXi, Omnissa Horizon/VDI). This includes hypervisor management, VM lifecycle automation, resource optimization, and virtual network configuration.
    • Compute & OS Management: Engineer and manage base server images for both physical and virtual machines, including OS hardening, kernel tuning, and automated patching.
    • Infrastructure as Code (IaC): Develop, manage, and version the low-level infrastructure using tools like Terraform, focusing on repeatable and secure provisioning across physical and virtual landscapes.
    • Container Orchestration: Own the foundational layers of our Kubernetes clusters, focusing on the worker nodes, Container Network Interface (CNI), Container Storage Interface (CSI), and overall cluster performance to support mission applications running on virtualized infrastructure.
    • Platform Stability: Act as the escalation point for the most complex infrastructure issues, troubleshooting problems that span from hardware and hypervisors to the application layer.
Required Qualifications
  • Must have a minimum CompTIA Security Plus certificate or equivalent.
  • Must have experience with IT concepts, practices, and procedures as certified IAW DoD 8570.01-M IAT II and industry standards.
  • Additional duties include Provide SA functions for all systems, servers, workstations, peripherals, communications devices and software which is on-line and supported
  • AOC specific experience required.
  • Proficient troubleshooting and resolving errors with Linux, Oracle SQL, and Sybase operating and database software.
  • Top Secret (TS) security clearance w/SCI eligibility.
Benefit Overview
  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Generous paid vacation & sick leave, plus 11 paid holidays and floating holidays
  • Paid parental leave
  • Company-paid life insurance, short- and long-term disability
  • Employee Assistance Program (EAP)
  • Gym discounts through medical plan
  • Tuition reimbursement and annual professional development stipend
  • Access to Jefferson Training Academy (in-house learning & development programs)
  • Employee Service Day
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