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Machine Learning Engineer Jobs in Hollywood, FL (NOW HIRING)

WorkNovas LLC

Gen AI Engineer

Sunrise, FL · On-site

Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). * In this role, you will work on end ...

Deloitte

AI Solutions Architect

Miami, FL · On-site

$60.25 - $79.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Security ...

Deloitte

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... If you loveworking with data, designing machine learning models, andturning complex algorithms into ...

Unicon Pharma Inc.

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 ...

Augusta Hitech Soft Solutions LLC

AI Engineer

Miami, FL · On-site

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 ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL · On-site

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 ...

Deloitte

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Hollywood, FL

Machine Learning Engineer information

See Hollywood, FL salary details

$28.9K

$118.1K

$177.5K

How much do machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning engineer in Hollywood, FL is $118,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $142,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 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 job categories do people searching Machine Learning Engineer jobs in Hollywood, FL look for? The top searched job categories for Machine Learning Engineer jobs in Hollywood, FL are:
What cities near Hollywood, FL are hiring for Machine Learning Engineer jobs? Cities near Hollywood, FL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hollywood, FL as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $118,111 per year, or $56.8 per hour.

Gen AI Engineer

WorkNovas LLC

Sunrise, FL • On-site

Contractor

Re-posted 29 days ago

Job description

Role: Gen AI Engineer

Location: Sunrise, FL or Phoenix, AZ

Hybrid role - In a week three days onsite.

Experience - 6 to 8 Years

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs).

  • In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source).
  • Design agentic workflows using LangChain and LangGraph.
  • Implement short-term and long-term memory strategies for LLM-based systems.
  • Optimize prompts, retrieval pipelines, and orchestration logic.
  • Collaborate with product and platform teams to deliver scalable AI solutions.
  • Required Qualifications Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral). Hands-on experience with LangChain and/or LangGraph.
  • Solid understanding of LLM memory architectures and state management.
  • Proficiency in Python and ML engineering best practices.

Nice to Have

  • Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
  • Experience deploying ML/GenAI systems in production environments.