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Full Time Machine Learning Ops Engineer Jobs in Florida

Clifton Larson Allen

Lead ML Ops engineer

Orlando, FL · On-site

$95.70K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Clifton Larson Allen

Lead ML Ops engineer

Naples, FL

$96.50K - $127.10K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

DPR Construction

MLOps Engineer

Tampa, FL · On-site

They are seeking an experienced MLOps Engineer to join their Data and AI team, focusing on ... Ops and model performance monitoring • Experience deploying production-ready machine learning ...

SoFi

Fraud Model Developer

Jacksonville, FL · On-site

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our ... Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance ...

GeniusRx

Senior Data Engineer

Boca Raton, FL · On-site

$100.30K - $136.20K/yr

Databricks for additional transformations and machine learning. * Looker for BI and reporting. You ... Work together with stakeholders from marketing, pharmacy ops, engineering, and product to ...

Lee Health

Cloud Engineer

Fort Myers, FL · On-site +1

$78.46K - $101.98K/yr

IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8:00:00 AM to 4:30:00 PM Minimum ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

Lee Health

Cloud Engineer

Fort Myers, FL · On-site +1

$78.46K - $101.98K/yr

IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8:00:00 AM to 4:30:00 PM Minimum ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner with companies pushing the boundaries of technology - and we're looking ... If you love working with data, designing machine learning models, and turning complex algorithms ...

SynthBee, Inc.

Cloud Engineer

Pembroke Pines, FL · On-site

$52.50 - $70.25/hr

As a Cloud Engineer, you will support tech leadership by optimizing and deploying cloud-based solutions, integrating machine learning models, and collaborating with teams to enhance data-intensive ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required - 8+ Years Must Have Technical/Functional Skills AI, Machine Learning model development Stakeholder management Multi Modal deployment Roles & Responsibilities ...

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Full Time Machine Learning Ops Engineer information

What is the difference between Full Time Machine Learning Ops Engineer vs Data Scientist?

AspectFull Time Machine Learning Ops EngineerData Scientist
Primary focusDeploying, maintaining, and optimizing ML models in production environmentsAnalyzing data, building models, and deriving insights
Required skillsMachine learning deployment, cloud platforms, scripting, DevOps practicesStatistical analysis, data visualization, programming (Python/R)
Work environmentProduction systems, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
Common certificationsCloud certifications (AWS, GCP), ML Ops certificationsData science certifications, statistical courses

While both roles involve machine learning, the Full Time Machine Learning Ops Engineer focuses on deploying and maintaining models in production, requiring DevOps and cloud skills. Data Scientists primarily analyze data and develop models, often working in research settings. Understanding these differences helps in choosing the right career path or job focus.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Florida? The most popular types of Machine Learning Ops Engineer jobs in Florida are:
What are popular job titles related to Full Time Machine Learning Ops Engineer jobs in Florida? For Full Time Machine Learning Ops Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Ops Engineer jobs in Florida look for? The top searched job categories for Full Time Machine Learning Ops Engineer jobs in Florida are:
What cities in Florida are hiring for Full Time Machine Learning Ops Engineer jobs? Cities in Florida with the most Full Time Machine Learning Ops Engineer job openings:
Full Time Machine Learning Ops Engineer jobs near you

Data Scientist, Machine Learning

Orlando Magic

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

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

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