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Scientific Machine Learning Jobs in Florida (NOW HIRING)

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ...

ENSCO

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ...

ENSCO, Inc.

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$88.40K - $121.40K/yr

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ...

Varsity Tutors

Machine Learning Tutor

Fort Pierce, FL · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Sunrise, FL · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Scientific Machine Learning information

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 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 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 Florida? For Scientific Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Florida look for? The top searched job categories for Scientific Machine Learning jobs in Florida are:
What cities in Florida are hiring for Scientific Machine Learning jobs? Cities in Florida with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you

Data Scientist, Machine Learning

AEG

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Before we get into the specifics of the role, there are a few things we want you to know: At the Orlando Magic, our approach is to not only learn as much about you as we can, but for you to learn about us. This is definitely a two-way street, so time with your potential new leader, teammates, and/or other departments that the role will work with is critical. It isn't just, "what are we looking for", but also, "what do we have to offer you" and "are we the right fit for you." While every position is different, our interview process is typically a three-step process, sometimes more depending on the level and nature of the role.
What we offer you:
  • Staff tickets to Magic home games, learning and development opportunities, Employee Resource Groups (ERGs), company sponsored events, volunteer opportunities & outings for every employee.
  • Fantastic benefits that include: medical, dental, vision, 401(k) with company matching, mental wellness resources, subsidized gym memberships, maternity & paternity leave.
  • Culture built on Community, Innovation, Legendary and Teamwork!
A quick summary about the Data Scientist, Machine Learning: The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and player development. This role will own key parts of the model development lifecycle, from experimentation and training to production deployment, with a focus on spatiotemporal modeling, scalable data pipelines, and reliable model delivery. This is an in-person opportunity in Orlando, FL.
What the Data Scientist, Machine Learning will do:
  • Build and productionize machine learning models that support basketball decision making.
  • Design and maintain scalable systems and pipelines for data processing, training, inference, and monitoring.
  • Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools.
  • Establish best practices for testing, validation, documentation, versioning, and model observability.
  • Develop modeling approaches that translate basketball data into clear, actionable insights.
  • All other duties as assigned.

What the Data Scientist, Machine Learning needs to have:
  • Bachelor's in Computer Science, Statistics, Math or related field.
  • 1+ years of experience with Python and SQL, with solid software engineering fundamentals including testing, version control, and maintainable code practices.
  • 1+ years of experience with applied machine learning techniques, with fluency across tree-based methods, deep learning, and modern modeling workflows.
  • 1+ years of experience with building, deploying, and maintaining end to end machine learning systems in production environments.
  • Passion for basketball and an understanding of the basketball analytics space.
  • Willingness to work long and irregular hours with a flexible schedule based on the changing priorities of the department.
  • Willingness to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
  • Proficient in all Microsoft Office products and other related computer skills required.
  • Ability to meet tight deadlines and work well under pressure.
  • Strong organizational skills, time management skills and attention to detail required.
  • Strong verbal and written communication skills with an emphasis on business writing skills.
  • Ability to prioritize and manage multiple tasks/projects.
  • Ability to work independently without supervision, be self-directed and demonstrate initiative.
  • Strong team synergy skills and ability to work collaboratively with others whom you have no direct authority over.
  • Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
  • Exhibit good judgment and decision-making skills.

Physical requirements
  • None

If this opportunity is a role you're passionate about and it fits with your skills and experience, then we welcome you to take the next step and apply! All offers of employment are contingent on successful completion of our pre-employment screenings, that will include a background check and may include a drug screen. Please note that this is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned. The Orlando Magic are not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at the Orlando Magic via-email, the internet or in any form and/or method without a valid written Statement of Work in place for this position from Orlando Magic HR/Recruitment will be deemed the sole property of the Orlando Magic. No fee will be paid in the event the candidate is hired by the Orlando Magic as a result of the referral or through other means. The Orlando Magic is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you'd like more information about your EEO rights as an applicant under the law, please visit http://www1.eeoc.gov/employers/poster.cfm
Equal Opportunity Employer 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.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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