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Scientific Machine Learning Jobs in Ocala, FL (NOW HIRING)

Fidelity Manufacturing

Steel Tank 3D Draftsman

Ocala, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Paid vacation days 401K Profit sharing Learning and Development FIDELITY MANUFACTURING is part of ... Qualifications * Associate of Applied Science (AAS) degree in Drafting and Design Technology ...

Weir

Master Pattern Maker

Belleview, FL

Skillfully select, cure, and laminate wood stocks, then use hand tools and precision machinery to ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Weir Group

Master Pattern Maker

Belleview, FL

Skillfully select, cure, and laminate wood stocks, then use hand tools and precision machinery to ... We do this by combining our deep customer insights, world-class engineering, materials science ...

MyFlorida

SENIOR PUBLIC HEALTH NUTRITIONIST - 64029898

Ocala, FL · On-site

$55K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Knowledge of the science and current practice of food and nutrition, dietetics or food service ... Ability to use computers, printer, copier and fax machine. * A valid driver's license and reliable ...

Weir

Woodworker/Patternmaker

Belleview, FL · On-site

Operate woodworking equipment and assist with CNC machine setup and operation. * Production Support ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Weir Group

Woodworker/Patternmaker

Belleview, FL

Operate woodworking equipment and assist with CNC machine setup and operation. * Production Support ... We do this by combining our deep customer insights, world-class engineering, materials science ...

All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Ocala, FL

Scientific Machine Learning information

See Ocala, FL salary details

$12

$29

$48

How much do scientific machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for scientific machine learning in Ocala, FL is $29.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $37.31 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

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

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

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

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Ocala, FL?

For Scientific Machine Learning jobs in Ocala, FL, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Ocala, FL look for?

The top searched job categories for Scientific Machine Learning jobs in Ocala, FL are:

What cities near Ocala, FL are hiring for Scientific Machine Learning jobs?

Cities near Ocala, FL with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you

Software Engineering Intern - Artificial Intelligence (Spring 2027)

Cynet Corp

Leesburg, FL • On-site

Internship

Posted 5 days ago

Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.com 

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