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Remote Machine Learning Jobs in Hialeah, FL (NOW HIRING)

Humana

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

... machine learning opportunities. * Develop secure, scalable ETL/ELT pipelines using PySpark ... Limited Geography Remote - This is a remote position but located within a specific geography.

Humana

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

... machine learning opportunities. * Develop secure, scalable ETL/ELT pipelines using PySpark ... Limited Geography Remote - This is a remote position but located within a specific geography.

Humana

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

... machine learning opportunities. * Develop secure, scalable ETL/ELT pipelines using PySpark ... Limited Geography Remote - This is a remote position but located within a specific geography.

Munich Re

Data Scientist, AI

Fort Lauderdale, FL · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Cisco

Account Executive - Splunk (Florida)

Miami, FL · Remote

$198K - $333K/yr

This is a remote role for someone based in Florida. Role Summary We are seeking a hardworking ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Crowe LLP

Senior AI Engineer

Miami, FL · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Hialeah, FL

Remote Machine Learning information

See Hialeah, FL salary details

$23.1K

$38.6K

$79.7K

How much do remote machine learning jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote machine learning in Hialeah, FL is $38,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Hialeah, FL? The most popular types of Machine Learning jobs in Hialeah, FL are:
What are popular job titles related to Remote Machine Learning jobs in Hialeah, FL? For Remote Machine Learning jobs in Hialeah, FL, the most frequently searched job titles are:
What cities near Hialeah, FL are hiring for Remote Machine Learning jobs? Cities near Hialeah, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Hialeah, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,566 per year, or $18.5 per hour.
Full Stack .NET Architect - GenAI Experience (Remote)

Full Stack .NET Architect - GenAI Experience (Remote)

Accenture

Miami, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 454 rated business services

Job description

This position is open to candidates located anywhere in the United States. Candidates are welcome to work remotely or out of one of our regional offices.

We are seeking a visionary Full Stack Engineering Architect with proven expertise in Generative AI (Gen AI) to drive the design and implementation of groundbreaking intelligent applications. The ideal candidate will possess deep technical acumen across front-end and back-end development, cloud architectures, and the latest advancements in AI and machine learning, particularly Gen AI platforms and techniques.

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  • Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities.

  • Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services.

  • Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products.

  • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences.

  • Establish and enforce software architecture best practices, coding standards, and agile development methodologies.

  • Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation.

  • Mentor engineers, championing technical excellence and continuous learning within the team.

  • Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

  • 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices.

  • Experience with Microsoft Azure OpenAI Service.

  • Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.).

  • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real-time data processing.

  • Track record of leading engineering teams and delivering complex projects from conception to production.

  • Excellent problem-solving, communication, and leadership skills.

  • Passion for innovation and staying ahead of Gen AI trends.

Preferred Skills

  • Knowledge of Agentic AI concepts, frameworks, and their practical applications.

  • Experience with prompt engineering, fine-tuning, and deploying custom Gen AI models.

  • Knowledge of ethical AI practices, responsible AI frameworks, and related governance.

  • Background in building AI-powered chatbots, recommendation engines, or creative content tools.

  • Familiarity with MLOps, model monitoring, and performance optimization.

We anticipate this job posting will be posted on2/16/2025 and open for at least 14 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Avanade

California $155,000-190,000

Cleveland $140,000-170,000

Colorado $140,000-170,000

District of Columbia $155,000-190,000

Illinois $150,000-180,000

Maryland $140,000-170,000

Massachusetts $140,000-170,000

Minnesota $150,000-180,000

New York $155,000-190,000

New Jersey $155,000-190,000

Washington $155,000-190,000

At Avanade, we are committed to ensure our people feel appreciated and empowered to succeed both personally and professionally.

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