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Senior Machine Learning Engineer Jobs in Saint Augustine, FL

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site

$47.50 - $65/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site +1

$47.50 - $65/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...

Varsity Tutors

Machine Learning Tutor

Jacksonville, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

CTIO - AI Engineer- Senior Manager

Jacksonville, FL

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

FIS

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Collaborate with data engineering teams to define data requirements, optimize data pipelines, and ensure availability of high-quality data for analytics and machine learning initiatives. * Ensure ...

Worldpay, Inc.

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Collaborate with data engineering teams to define data requirements, optimize data pipelines, and ensure availability of high-quality data for analytics and machine learning initiatives. * Ensure ...

FiveForty°

Senior Cloud Engineer

Jacksonville, FL · On-site

$51.75 - $69/hr

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... Senior DevSecOps Engineer WHY 540? 540 is a forward-thinking company that the government turns to ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Saint Augustine, FL

Senior Machine Learning Engineer information

See Saint Augustine, FL salary details

$51.9K

$110.4K

$160.1K

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

As of Sep 1, 2026, the average yearly pay for senior machine learning engineer in Saint Augustine, FL is $110,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Saint Augustine, FL?

The most popular types of Machine Learning Engineer jobs in Saint Augustine, FL are:

What job categories do people searching Senior Machine Learning Engineer jobs in Saint Augustine, FL look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Saint Augustine, FL are:

What cities near Saint Augustine, FL are hiring for Senior Machine Learning Engineer jobs?

Cities near Saint Augustine, FL with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Saint Augustine, FL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,391 per year, or $53.1 per hour.

Machine Learning Operations Engineer

Mosai

Jacksonville, FL • On-site

$47.50 - $65/hr

Full-time

Posted 5 days ago

Job description

About Mosai
Mosai™ is the intelligent care coordination platform that brings together the fragmented pieces of healthcare into a clear, connected picture. Like a mosaic, our platform unites data, people, and processes so providers can make better decisions, coordinate care in real time, and deliver improved outcomes. With Mosai, home-based care organizations can thrive in value-based care while giving every patient the right care, in the right place, at the right time. Learn more at https://www.mosai.com/
Position Summary
We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power training, inference, evaluation, and analytics workflows. This role is responsible for ensuring the reliability, scalability, and observability of all machine learning systems in production, including traditional ML models and modern LLM-based/MCP-orchestrated architectures. A key focus of this role in the near term is auditing and consolidating our existing pipelines and deployment processes. The ideal candidate is highly skilled in Python, Jupyter, Snowflake, and both Azure and AWS cloud environments, and thrives in environments requiring continuous monitoring, rapid issue diagnosis, and rigorous validation before deployment.
Job Duties
  • Design, build, and maintain scalable data pipelines supporting model training, inference, batch processing, and real-time analytics workflows.
  • Audit, refactor, and consolidate existing ML pipelines and deployment processes to eliminate technical debt, redundant workflows, and undocumented manual steps.
  • Audit, refactor, and consolidate existing ML pipelines and deployment processes to eliminate technical debt, redundant workflows, and undocumented manual steps.
  • Monitor and deploy and deploy production ML pipelines to identify anomalies, performance degradations, or failures related to data quality, logic defects, or infrastructure issues.
  • Execute rapid troubleshooting and root-cause analysis followed by timely remediation, validation, and full regression testing prior to redeployment.
  • Collaborate with Data Science, Engineering, and Product teams to operationalize machine learning models-including LLM-based and MCP-orchestrated systems-ensuring seamless integration into production environments.
  • Develop CI/CD workflows, model deployment strategies, and automated testing frameworks to support reliable, repeatable releases.
  • Implement and maintain observability tooling (logging, monitoring, alerting) to ensure high availability and traceability of ML systems.
  • Manage and optimize cloud infrastructure across Azure and AWS for compute, storage, orchestration, and security needs.
  • Create and maintain documentation, runbooks, and best practices for model operations and system maintenance.
  • Perform all other job-related duties as assigned.

Minimum Requirements
  • Bachelor's Degree in Computer Science, Engineering or equivalent work experience.
  • 5-7 years of combined experience in Data Engineering, MLOps, Machine Learning Engineering, or related fields.
  • Demonstrated experience operationalizing traditional ML models as well as LLM-based and MCP-orchestrated systems.
  • Strong working knowledge of both Azure and AWS cloud platforms, including compute orchestration, networking, and security best practices.
  • Experience with CI/CD tools, containerization (Docker), infrastructure-as-code, and ML pipeline frameworks.
  • Strong ability to diagnose and resolve pipeline failures, data anomalies, and complex system issues.

Advanced proficiency in Python, Jupyter, and common ML/analytics frameworks.
  • Hands-on experience with Snowflake or similar cloud data warehousing environment.
  • Excellent problem-solving skills, attention to detail, and a proactive, self-directed work ethic.
  • Strong communication skills and comfort working in fast-paced, cross-functional environments.

Work Environment
  • This role is preferred to be based in Nashville or Jacksonville, near Mosai's offices.

Physical Demands of Our Work Environment
  • This position uses a computer and other office equipment as needed to perform duties. The in-office noise level in the work environment is typical of that of an office. Frequent interruptions may be encountered throughout the workday.
  • The employee is required to either stand or sit, talk and hear frequently required to use repetitive keying or hand motions.
  • The physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Mosai is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status, If you are unable to submit an application because of a incompatible assistive technology or disability, please contact us at careers@mosai.com. We will make every effort to respond to your request for disability assistance as soon as possible.
Mosai is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position.

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