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Machine Learning Flexible Hours Jobs in Boca Raton, FL

As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Summary We are seeking a Machine Learning Engineer to build the "active brain" of our patient ... Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance ...

... Machine Learning tutors nationally. As an independent contractor on the Varsity Tutors Platform ... Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ...

... Machine Learning tutors nationally. As an independent contractor on the Varsity Tutors Platform ... Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ...

... Machine Learning tutors nationally. As an independent contractor on the Varsity Tutors Platform ... Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ...

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Machine Learning Flexible Hours information

See Boca Raton, FL salary details

$24.2K

$40.4K

$83.5K

How much do machine learning flexible hours jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning flexible hours in Boca Raton, FL is $40,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,700.00 per year, depending on experience, location, and employer.

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

What are the key skills and qualifications needed to thrive as a machine learning engineer with flexible hours?

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a machine learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What are popular job titles related to Machine Learning Flexible Hours jobs in Boca Raton, FL?

For Machine Learning Flexible Hours jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Flexible Hours jobs in Boca Raton, FL look for?

The top searched job categories for Machine Learning Flexible Hours jobs in Boca Raton, FL are:

Machine Learning Engineer II

Plantation, FL • On-site

Chewy
Retail • 10K+ employees

$119K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Chewy rating

6.8

Company rating: 6.8 out of 10

Based on 230 frontline employees who took The Breakroom Quiz


Job description

Summary: 

We are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company. 

Responsibilities: 

  • Design and implement robust data pipelines for efficient data ingestion, processing, and feature engineering. 
  • Ensure data quality and consistency for model training and inference. 
  • Work with large datasets and apply data scaling techniques. 
  • Select and build appropriate machine learning models based on business requirements and data characteristics. 
  • Train and evaluate models using various techniques and metrics. 
  • Fine-tune models to achieve optimal performance and efficiency. 
  • Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability. 
  • Implement monitoring and alerting systems to track model performance and identify potential issues. 
  • Optimize models for inference speed and resource utilization. 
  • Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions. 
  • Effectively communicate technical concepts and findings to both technical and non-technical audiences. 

Qualifications: 

  • Master's degree in Computer Science, Machine Learning, or a related field. 
  • 3+ years of experience as a Machine Learning Engineer or in a similar role. 
  • Strong programming skills in Python or another relevant language. 
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
  • Experience with SQL and relational databases. 
  • Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift). 
  • Solid understanding of machine learning algorithms and best practices. 
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). 
  • Excellent communication and presentation skills. 

Nice to Have: 

  • Familiarity with big data technologies (e.g., Spark, Iceberg, dbt). 
  • Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly). 
  • Knowledge of retail and e-commerce. 
The base salary range for this role is $119,500 - $190,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011