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Machine Learning Engineer Jobs in Boca Raton, FL

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104.90K - $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 ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL

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 ...

Vbeyond Corporation

Data Mining Engineer

Sunrise, FL

Data Mining Engineer / Manager Experience: 8+ Years Role Overview We are seeking a data-driven and ... In this role, you will leverage data mining, statistical modeling, and machine learning techniques ...

Apex Systems

AI engineer

Fort Lauderdale, FL · Remote

$109.10K - $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.

Paychex

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91.53K - $156.50K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Barkera

A.I. Specialist (Intern)

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

... machine learning, or related field. - Track record of designing, developing, and deploying AI solutions - Interest and or Knowledge of programming skills in languages such as Python, Java, or C ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109.20K - $131.10K/yr

Exposure to machine learning data pipelines * GCP certifications (e.g., Professional Data Engineer ) Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or ...

Maximus

AI/ML Software Developer

Lake Worth, FL · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

Boca Raton, FL · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

TW Group LLC

IT/DevOps Engineer

Fort Lauderdale, FL · On-site

$50.50 - $69/hr

HP Proliant (or equivalent) * DevOps Engineering • GitLab & Git Clients • Kubernetes • ... SQL Databases, App Insights, Stream Analytics and Machine Learning * Networking / Infrastructure ...

GeniusRx

Senior Data Engineer

Boca Raton, FL · On-site

$100.30K - $136.20K/yr

Job Summary GeniusRx is looking for an experienced data engineer to help bring the next evolution ... Databricks for additional transformations and machine learning. * Looker for BI and reporting. You ...

JDA

Sr Gen AI Engineer

Delray Beach, FL · On-site

$87.52K - $140.77K/yr

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - InOffice presence ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with ...

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Machine Learning Engineer information

See Boca Raton, FL salary details

$29.9K

$122.2K

$183.6K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Boca Raton, FL is $122,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $147,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are popular job titles related to Machine Learning Engineer jobs in Boca Raton, FL? For Machine Learning Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Boca Raton, FL look for? The top searched job categories for Machine Learning Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Machine Learning Engineer jobs? Cities near Boca Raton, FL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL • On-site

$104.90K - $126K/yr

Contractor

Posted 9 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.