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Machine Learning Engineer Opt Jobs in Miami, FL (NOW HIRING)

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

AI Engineer Location: (May occasionally be required to work onsite at the Miami office) Duration: 4 ... The ideal candidate should have experience building machine learning or generative AI applications ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Required Qualifications Experience: 3+ years of experience in machine learning, AI engineering, or applied data science. Proven experience deploying ML models into production environments is required.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... machine learning, and product initiatives • Ensure data quality, integrity, security, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Design and build end-to-end production AI systems, integrating machine learning models, LLMs, and ... Experience with generative AI and prompt engineering. Experience in continuous integration ...

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Showing results 1-20

Machine Learning Engineer Opt information

See Miami, FL salary details

$30.1K

$123.2K

$185.1K

How much do machine learning engineer opt jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer opt in Miami, FL is $123,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,200.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Miami, FL? For Machine Learning Engineer Opt jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Machine Learning Engineer Opt jobs? Cities near Miami, FL with the most Machine Learning Engineer Opt job openings:
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL • On-site

$104K - $126K/yr

Contractor

Re-posted 23 days ago


Job description

Description:
Title: Data Engineer (Core Data Engineer role)
1 year assignment.(Temp to perm: Based on openings and performance)
Davie, FL (Onsite)

Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.