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Mlops Machine Learning Engineer Jobs in Miami, FL

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

Citadel

Machine Learning Engineer

Miami, FL · On-site

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

Bespoke Labs

Machine Learning Engineer

Miami, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hialeah, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Crowe LLP

Machine Learning Engineer

Fort Lauderdale, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe LLP

Machine Learning Engineer

Miami, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL · On-site

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ...

Opendoor

Machine Learning Engineer

Miami, FL · On-site

About Opendoor At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It ...

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Mlops Machine Learning Engineer information

See Miami, FL salary details

$30.1K

$123.2K

$185.1K

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

As of Aug 19, 2026, the average yearly pay for mlops machine learning engineer 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 does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

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

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in Miami, FL?

For Mlops Machine Learning Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Mlops Machine Learning Engineer jobs in Miami, FL look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Mlops Machine Learning Engineer jobs?

Cities near Miami, FL with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,160 per year, or $59.2 per hour.

Lead Machine Learning Engineer

Kforce Technology Staffing

Davie, FL • On-site

$93K - $123K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

RESPONSIBILITIES:
Kforce has a client seeking a Lead Machine Learning Engineer in Fort Lauderdale, FL to lead the design, development, and deployment of enterprise-scale machine learning solutions that drive customer intelligence, personalization, recommendation engines, and next-generation AI experiences.
Responsibilities:
Machine Learning Development:
* Design, develop, train, and deploy machine learning models and predictive analytics solutions
* Build recommendation engines, customer segmentation models, churn prediction models, and customer value forecasting solutions
* Develop reusable machine learning frameworks, standards, and best practices
* Optimize model performance, scalability, and reliability
Customer Intelligence & Personalization:
* Leverage customer data platforms and identity resolution capabilities to enhance model accuracy
* Create personalized customer experiences and intelligent insights
* Develop solutions that improve customer engagement, retention, and loyalty
* Partner with business stakeholders to align machine learning initiatives with organizational objectives
AI & Advanced Analytics:
* Support the development of AI-powered applications and intelligent assistants
* Contribute to Generative AI, LLM, and agent-based AI initiatives
* Evaluate emerging AI technologies and recommend opportunities for adoption
* Collaborate with engineering teams to create innovative AI-enabled business solutions
Production ML & MLOps:
* Partner with MLOps teams to operationalize machine learning models
* Develop real-time inference and prediction services
* Build model monitoring, validation, retraining, and governance processes
* Ensure secure, scalable, and reliable production deployments
Technical Leadership:
* Provide technical leadership across Machine Learning, Data Science, and Engineering teams
* Mentor engineers and data scientists
REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field required; Master's degree or equivalent advanced experience preferred
* 8+ years of Machine Learning Engineering, Data Science, or Applied AI experience
* 3+ years in a Lead, Principal, or Senior Technical Leadership role
* Experience delivering production-grade machine learning solutions at scale
Strong expertise with:
* Python
* Databricks
* MLflow
* TensorFlow, PyTorch, and/or Scikit-learn
* Real-time inference architectures
Experience building:
* Recommendation systems
* Personalization engines
* Predictive analytics solutions
* Customer intelligence platforms
* Strong understanding of feature engineering and ML lifecycle management
* Experience partnering with Data Engineering teams to build ML-ready data pipelines and datasets
Preferred Skills:
* Customer 360 or customer data platform experience
* Identity Graph experience
* Experience within hospitality, gaming, entertainment, retail, loyalty, or consumer-facing digital organizations
Experience with:
* Snowflake
* MLOps practices and platforms
* Generative AI solutions
* Agentic AI architectures
* LLM-powered applications
* Real-time recommendation platforms
* Experience supporting enterprise AI transformation initiatives
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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