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Day Shift Remote Python Machine Learning Jobs in Plantation, FL

OneStream

AI Engineer

Fort Lauderdale, FL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... Python, C++, C, CSharp, Java, Rust, or Go (or similar experience). Preferred Education and ...

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Lead data-driven innovation, building the production pipeline for advanced machine learning ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Varsity Tutors

Data Science Tutor

Miami, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

AgileEngine

Senior Data Engineer ID75059

Miami, FL · On-site +1

$101K - $137K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... machine learning initiatives and advanced analytics; - Act as a technical consultant for ...

Varsity Tutors

Data Science Tutor

Hialeah, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsDay Shift Python Machine Learning JobsDay Shift Remote Python Machine Learning JobsDay Shift Remote Python Machine Learning Jobs in Plantation, FL

Day Shift Remote Python Machine Learning information

See Plantation, FL salary details

$13

$58

$85

How much do day shift remote python machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for day shift remote python machine learning in Plantation, FL is $58.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.15 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Remote Python Machine Learning vs Data Analyst?

AspectDay Shift Remote Python Machine LearningData Analyst
Required SkillsPython, Machine Learning, Data ModelingExcel, SQL, Data Visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, business-focused
Industry UsageTech, AI, Data ScienceBusiness, Marketing, Finance

Day Shift Remote Python Machine Learning roles focus on developing algorithms and models using Python, often in tech industries. Data Analysts interpret data to inform business decisions, utilizing tools like Excel and SQL. While both roles may be remote and require analytical skills, Python Machine Learning positions emphasize coding and model building, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a day shift remote Python machine learning engineer?

A Day Shift Remote Python Machine Learning Engineer needs strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science, mathematics, or a related field. Experience with libraries and tools such as TensorFlow, PyTorch, scikit-learn, Git, and cloud platforms is commonly required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills help individuals excel in a remote and collaborative environment. These abilities ensure effective model development, deployment, and teamwork while meeting project goals in distributed settings.

What is a day shift remote Python machine learning job?

Day Shift Remote Python Machine Learning jobs are positions where professionals use Python to develop, implement, and maintain machine learning models while working remotely during standard daytime hours. These roles often involve tasks such as data analysis, feature engineering, model training, and deployment. By working remotely, employees have flexibility in their work environment, while the day shift ensures alignment with typical business hours for collaboration. These jobs are popular in industries like tech, finance, healthcare, and more, where machine learning plays a crucial role in decision-making and automation.

How do remote Python machine learning professionals typically collaborate with team members during the day shift?

Remote Python Machine Learning professionals often use a variety of online collaboration tools, such as Slack, Zoom, and project management platforms, to communicate with team members throughout the workday. Daily stand-up meetings, code reviews, and shared repositories (like GitHub) help ensure alignment on project goals and progress. Collaboration also extends to pair programming sessions, brainstorming model improvements, and jointly troubleshooting data issues. Being proactive in communication and documentation is key to staying connected and productive in a remote day shift environment.
What are popular job titles related to Day Shift Remote Python Machine Learning jobs in Plantation, FL? For Day Shift Remote Python Machine Learning jobs in Plantation, FL, the most frequently searched job titles are:
What job categories do people searching Day Shift Remote Python Machine Learning jobs in Plantation, FL look for? The top searched job categories for Day Shift Remote Python Machine Learning jobs in Plantation, FL are:
Day Shift Remote Python Machine Learning jobs near you
Infographic showing various Day Shift Remote Python Machine Learning job openings in Plantation, FL as of June 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 78% Full Time, 8% Part Time, 9% Contract, and 2% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $121,115 per year, or $58.2 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Coral Springs, FL • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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