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Apprentice Machine Learning Testing Jobs in Mulberry, FL

Pwc

US Tech - AI Engineering Senior Associate

Tampa, FL

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Apply automated testing and governance controls effectively - Analyze complex ...

Core One

Data Scientist

Tampa, FL · On-site

Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Provide technical oversight and guidance during model testing, validation, and operational ...

Citigroup, Inc.

Model/Anlys/Valid Officer

Tampa, FL · On-site

$130K/yr

... the rule-based and machine learning (supervised and unsupervised) techniques are robust and ... executing testing strategies, including risk-based sampling, sensitivity analysis, and random ...

Pwc

US Tech - 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 ... testing strategies - Architecting, building, and deploying conversational bots using Azure Bot ...

MANTECH

DevSecOps Platform Engineer

Tampa, FL

Developing, testing, and maintaining containerized applications to support the Sponsor's system ... Experience with MLOps, including building and deploying machine learning models. * Knowledge of ...

Varsity Tutors

Statistics Graduate Level Tutor

Tampa, FL · Remote

$18 - $40/hr

... hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods ... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Our Company

Lead Software Engineer

Seffner, FL

Documentation: Document system capabilities to aid training, testing, and support. * Issue ... Familiarity with machine learning (ML), artificial intelligence (AI), and large language models ...

Our Company

Lead Software Engineer

Seffner, FL

Documentation: Document system capabilities to aid training, testing, and support. * Issue ... Familiarity with machine learning (ML), artificial intelligence (AI), and large language models ...

Our Company

Lead Software Engineer

Seffner, FL · On-site

Documentation: Document system capabilities to aid training, testing, and support. * Issue ... Familiarity with machine learning (ML), artificial intelligence (AI), and large language models ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

... in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory ... Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to ...

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All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Mulberry, FL

Apprentice Machine Learning Testing information

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How much do apprentice machine learning testing jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for apprentice machine learning testing in Mulberry, FL is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $18.32 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Mulberry, FL? For Apprentice Machine Learning Testing jobs in Mulberry, FL, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Mulberry, FL look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Mulberry, FL are:
What cities near Mulberry, FL are hiring for Apprentice Machine Learning Testing jobs? Cities near Mulberry, FL with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Software Engineering Intern (AI, BI, DevOps)

Software Engineering Intern (AI, BI, DevOps)

Tampa Brass & Aluminum Corp

Tampa, FL

$15 - $16/hr

Internship

Posted 27 days ago

Job description

Employment Type: Paid Internship

Duration: 6-month internship with the possibility to extend based on performance and project needs
Eligibility: U.S. Citizen or Green Card Holder

Overview
We are seeking a motivated Software Engineering Intern to join our technical team and gain hands-on experience across several cutting-edge domains including Business Intelligence (BI), Computer Vision, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and DevOps.

This internship is ideal for students or early-career technologists who enjoy solving complex problems, experimenting with emerging technologies, and contributing to meaningful, real-world projects. You will work alongside senior engineers on initiatives that support analytics, automation, and AI-driven solutions across our organization.

Key Responsibilities
Computer Vision & AI Projects
· Collaborate on building, training, and testing machine learning or computer vision models.
· Support data preprocessing, image labeling, and model evaluation.
· Assist in developing RAG pipelines, integrating vector databases, and fine-tuning LLMs for internal knowledge systems.
· Use Open WebUI and related frameworks to build and test conversational or AI assistant interfaces.

Automation & Workflow Engineering
· Leverage n8n for building and orchestrating workflow automations between internal systems and APIs.
· Integrate automation into business processes, dashboards, and AI/LLM pipelines.
· Document and version automation workflows for reuse and maintainability.

Data & BI Dashboards
· Assist in designing and developing dashboards using tools such as Power BI, Metabase, or Grafana.
· Work with data engineers to visualize KPIs, operational metrics, and predictive insights.
· Automate data pipelines and ETL processes using SQL, scripting, or n8n automation workflows.

DevOps & Infrastructure
· Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
· Gain exposure to GitOps tools such as Gitea, Argo CD, and Harbor for container registry and continuous deployment.
· Assist in setting up and maintaining on-premise and cloud environments (AWS, Azure).
· Participate in system automation, observability, and logging/monitoring initiatives.

Collaboration & Documentation
· Work closely with engineers, data scientists, and leadership to deliver prototypes, reports, and production-ready modules.
· Help document APIs, workflows, and system architecture for technical reference.

Desired Skills & Traits
· Strong foundation in one or more programming languages (Python, JavaScript/TypeScript, Java, or C#).
· Solid understanding of SQL and relational databases (MySQL, PostgreSQL, etc.).
· Familiarity with data visualization tools (Power BI, Metabase, Grafana).
· Basic understanding of machine learning frameworks (PyTorch, TensorFlow, or OpenCV a plus).
· Understanding of RAG, vector databases, and LLM integration workflows.
· Experience or interest in automation tools such as n8n.
· Basic knowledge of networking concepts, including DNS, firewalls, and network routing.
· Experience or curiosity about cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
· Comfortable using Linux and command-line tools.
· Strong analytical mindset, attention to detail, and eagerness to learn.
· Effective communication and documentation skills.

Learning Outcomes & Goals (First 90–180 Days)
· Build and deploy a computer vision or AI prototype, incorporating LLM and RAG components.
· Develop and deploy APIs for system integrations and AI workflows.
· Design and implement one or more BI dashboards visualizing real operational data.
· Create and automate workflows using n8n to connect data sources, dashboards, and AI services.
· Gain experience with DevOps workflows using Gitea, Argo CD, Harbor, Helm, and Kubernetes.
· Deploy and manage AI interfaces using Open WebUI, integrating internal models and data.
· Present completed projects and findings to the engineering and leadership teams.

Job Type: Internship

Pay: $15.00 - $16.00 per hour

Work Location: In person

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