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Machine Automation Jobs in Florida (NOW HIRING)

Amazon

Automation Engineer

Ocala, FL · On-site

... machinery, sortation and conveyor systems - Experience that includes strong analytical skills ... automation and analysis, or experience participating in continuous improvement projects in your ...

HPE Automation

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Electrical Panel and Assembly Technician

Deerfield Beach, FL · On-site

$50K/yr

Punch, fabricate, and otherwise modify/machine enclosures * Install electrical control systems, industrial automation systems, or electrical equipment, including control circuits, variable speed ...

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Machine Automation information

See Florida salary details

$28K

$34K

$53.1K

How much do machine automation jobs pay per year?

As of May 31, 2026, the average yearly pay for machine automation in Florida is $34,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $31,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Machine Automation, and why are they important?

To excel in Machine Automation, you need a solid background in robotics, control systems, and electrical or mechanical engineering, often supported by a relevant degree. Familiarity with PLC programming, SCADA systems, and certifications like Siemens or Allen-Bradley are highly valued. Critical thinking, problem-solving, and a collaborative mindset help professionals adapt and innovate in complex industrial environments. These competencies ensure efficient, safe, and reliable automation solutions that drive productivity and operational excellence.

What are some common challenges faced by professionals working in machine automation, and how can they be addressed?

Professionals in machine automation frequently encounter challenges such as integrating new automation technologies with legacy systems, ensuring consistent machine performance, and troubleshooting complex technical issues. Effective communication with multidisciplinary teams—including engineers, operators, and IT specialists—is essential for resolving these challenges. Continuous learning and staying updated on emerging technologies can also help automation professionals adapt to evolving industry standards and maintain efficient, safe operations.

What is machine automation?

Machine automation refers to the use of technology and machinery to perform tasks that were traditionally carried out by humans. This involves using control systems, such as computers or robots, to operate equipment and processes with minimal human intervention. Machine automation is commonly used in manufacturing, packaging, and other industries to increase efficiency, reduce errors, and improve safety. Automated systems can range from simple programmable machines to complex robotics and artificial intelligence-driven processes.

Will AI replace automation engineer?

AI is transforming automation engineering by enabling more advanced and efficient systems, but it is not expected to fully replace automation engineers. Instead, automation engineers will increasingly work alongside AI tools, focusing on designing, maintaining, and optimizing automated processes, often requiring skills in programming, control systems, and problem-solving. Human expertise remains essential for complex decision-making and system integration.

What is the difference between Machine Automation vs Robotics Technician?

AspectMachine AutomationRobotics Technician
CredentialsTypically requires engineering or technical certifications in automation or control systemsRequires technical certifications or associate degrees in robotics or electronics
Work EnvironmentIndustrial settings, manufacturing plants, automation control roomsManufacturing floors, robotics maintenance areas, assembly lines
Industry UsageUsed across manufacturing, automotive, and process industries for automation systemsCommonly employed in robotics maintenance, troubleshooting, and installation

Machine Automation specialists focus on designing, programming, and maintaining automated systems to improve manufacturing efficiency. Robotics Technicians primarily install, troubleshoot, and repair robotic equipment. While both roles work in industrial environments and require technical skills, Machine Automation professionals often have broader responsibilities in system integration, whereas Robotics Technicians focus on robotic hardware and maintenance.

What are popular job titles related to Machine Automation jobs in Florida? For Machine Automation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Automation jobs in Florida look for? The top searched job categories for Machine Automation jobs in Florida are:
Machine Automation jobs near you
Infographic showing various Machine Automation job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,043 per year, or $16.4 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tampa, FL • Remote

Other

Posted 9 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply