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Mlops Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

AgileEngine

MLOps Engineer ID72409

Boca Raton, FL · On-site

The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

AgileEngine

MLOps Engineer ID72409

Boca Raton, FL

The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

New

AgileEngine

MLOps Engineer ID72409

West Palm Beach, FL · On-site

The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

AgileEngine

MLOps Engineer ID72409

Fort Lauderdale, FL · On-site

The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

US DEFAULT GROUP, INC.

Data & AI Engineer

Boca Raton, FL · On-site

$170 - $230/hr

About this position The Principal Engineer - Data & AI is a senior, hands‑on lead engineer ... Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and ...

Armaninollp

Data & AI Platform Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... MLOps). "Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...

Apex Systems

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Build and maintain data pipelines and feature engineering workflows that feed production models ... Contribute to the team's MLOps practices including model versioning, experiment tracking, and ...

Jazwares

Data Architect

Plantation, FL

$60.75 - $78/hr

Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data ... Proven experience in DataOps, CI/CD (MLOps is a plus) * Exceptional written, verbal, and listening ...

Jazwares-

Data Architect

Plantation, FL · On-site

$120 - $180/hr

Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data ... Proven experience in DataOps, CI/CD (MLOps is a plus) * Exceptional written, verbal, and listening ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Boca Raton, FL

Mlops Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

How much do mlops data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for mlops data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 per year, depending on experience, location, and employer.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

What are popular job titles related to Mlops Data Engineer jobs in Boca Raton, FL?

For Mlops Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Mlops Data Engineer jobs in Boca Raton, FL look for?

The top searched job categories for Mlops Data Engineer jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Mlops Data Engineer jobs?

Cities near Boca Raton, FL with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.

MLOps Engineer ID72409

AgileEngine

West Palm Beach, FL

Full-time

Posted 3 days ago

New

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale. You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production-ready solutions.

WHAT YOU WILL DO
- Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment;
- Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;
- Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability;
- Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production;
- Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions;
- Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering;
- Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be willing to work onsite;
- Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring;
- Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources;
- Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments;
- A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location