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Machine Learning Operations Jobs in Tampa, FL (NOW HIRING)

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

JOB SUMMARY As a Data Scientist on the Operations Data Science & AI team, you will report to the ... Applied machine learning: Experience building, testing, and validating forecasting, regression ...

New

Graham Technologies

Data Scientist

Tampa, FL · On-site

LocationTampa, FloridaResponsibilitiesDevelop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations. Build demand ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations. * Build demand forecasting models utilizing statistical ...

Graham Tech

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations. * Build demand forecasting models utilizing statistical ...

New

Graham Technologies

Data Scientist

Tampa, FL

Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations. * Build demand forecasting models utilizing statistical ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations. * Build demand forecasting models utilizing statistical ...

Deloitte

Cyber - SecOps - Consultant

Tampa, FL

Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...

TalentBridgeX

Data Scientist

Tampa, FL

Develop predictive models for operational logistics (demand forecasting, resource optimization) * Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (Random ...

Disys

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Design and create data pipelines to maintain stable dataflow to the machine learning models - both in batch mode and near real-time mode. Interface with Engineering/Operations/System Admin/Data ...

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Showing results 21-40

All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Tampa, FL

Machine Learning Operations information

See Tampa, FL salary details

$20

$37

$57

How much do machine learning operations jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning operations in Tampa, FL is $37.70, according to ZipRecruiter salary data. Most workers in this role earn between $31.59 and $40.00 per hour, depending on experience, location, and employer.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

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

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Tampa, FL as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $78,411 per year, or $37.7 per hour.

AI/ML - Technology & Cybersecurity Risk Management - Vice President

Chase

Tampa, FL • On-site

$142K - $178K/yr

Other

Re-posted 4 days ago

Chase Bank rating

8.1

Company rating: 8.1 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

66th of 170 rated banks

Job description

Technology Operational Risk Vice President

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Technology Operational Risk Vice President in Compliance, Conduct and Operational Risk Technology & Cyber, you will lead oversight of large, complex programs and AI and machine learning systems across the firm. You evaluate technology and cybersecurity practices, identify operational risk and threat exposures, and provide credible challenge to first-line risk mitigation strategies. You partner with technology, risk, and functional stakeholders to strengthen controls and reduce the likelihood of disruption, compliance issues, or security events. You help us drive resilient, responsible adoption of AI and machine learning.

Job responsibilities:

  • Oversee operational risk for the engineering organization developing platforms for AI and machine learning and data serving
  • Lead thematic analysis of existing risks and internal and external events related to AI and machine learning
  • Challenge first-line technology and cyber risk mitigation strategies and execution for AI and machine learning use cases
  • Assess operational and cyber risk of AI and machine learning use for technology and cybersecurity purposes
  • Collaborate with operational risk officers across corporate functions to align on AI and machine learning risk oversight activities

Required qualifications, capabilities, and skills:

  • 10 years of experience in a technology role
  • Strong background in AI and machine learning and the technology used to build AI and machine learning solutions
  • Strong understanding of technology and cyber assessment practices for technology systems
  • Strong understanding of the technology and cyber threat landscape for AI and machine learning and associated mitigations
  • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals

What Chase Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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