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Remote Machine Learning Engineer Jobs in Spring Hill, FL

Epiq

Software Engineer

Tampa, FL · Remote

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Ultimate Knowledge

AI Workflow Engineer

Tampa, FL · Remote

... blameless learning, and operational excellence. A self-starter's bias for action: you see an ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

Epiq

AI Software Engineer

Tampa, FL · Remote

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

Breakthru

Manager, Talent & People Analytics

Tampa, FL · On-site +1

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Varsity Tutors

Statics Tutor

Tampa, FL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics and Dynamics Tutor

Tampa, FL · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

sa.global

Associate Consultant - HB1 (Remote)

Tampa, FL · Remote

... engineering, legal, consulting, software services, accounting, and homebuilding. We help over 800 ... Come as you are, make work fun & others successful, and foster an always learning mentality. Role ...

CACI

DevSecOps Engineer

Tampa, FL · On-site +1

$69K - $141K/yr

Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Spring Hill, FL

Remote Machine Learning Engineer information

See Spring Hill, FL salary details

$26.7K

$109.2K

$164.2K

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

As of Sep 8, 2026, the average yearly pay for remote machine learning engineer in Spring Hill, FL is $109,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What cities near Spring Hill, FL are hiring for Remote Machine Learning Engineer jobs?

Cities near Spring Hill, FL with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Spring Hill, FL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $109,247 per year, or $52.5 per hour.

Senior API Cloud Platform Engineer (Remote Opportunity)

Tampa, FL • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees
Learn more about VetsEZexternal

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

VetsEZ is currently looking for a Senior API & Cloud Platform Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will design, develop, and support the Enterprise Data Access Service (EDAS) and cloud-based integration platform for the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) initiative supporting the Department of Veterans Affairs (VA). The successful candidate will build secure, scalable APIs and cloud-hosted integration services that enable enterprise VA applications to securely access and consume Department of Defense (DoD) Individual Longitudinal Exposure Record (ILER) data.

Working closely with architects, data engineers, product owners, and enterprise stakeholders, this individual will develop modern cloud-native services and establish integration standards that support enterprise interoperability, scalability, security, and long-term maintainability. The role requires expertise in API development, cloud engineering, Azure services, and secure enterprise integrations.

The candidate must reside within the continental US.

Responsibilities

  • Design, develop, and maintain RESTful APIs supporting the Enterprise Data Access Service (EDAS) and TAG data products.
  • Define and maintain API contracts using OpenAPI (Swagger) specifications while implementing secure, versioned APIs that support enterprise interoperability.
  • Design and develop cloud-hosted application services using Microsoft Azure, including scalable and highly available microservices and API hosting solutions.
  • Implement application monitoring, logging, telemetry, health monitoring, and performance optimization using Azure Monitor and related Azure services.
  • Develop secure integrations with VA Profile, VBMS, Veterans Evaluation Services (VES), and other enterprise systems using modern authentication and authorization mechanisms.
  • Collaborate with architects, engineers, analysts, and stakeholders to support technical design, documentation, code reviews, Agile delivery activities, and enterprise integration planning.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 8+ years of software engineering experience designing and developing enterprise applications.
  • 5+ years of experience developing RESTful APIs, enterprise integration services, and cloud-native applications using Microsoft Azure.
  • Strong expertise with REST APIs, OpenAPI (Swagger), JSON, OAuth 2.0, Mutual TLS (mTLS), and secure API design and implementation.
  • Proficiency in C#, Java, or Python, along with experience using Git, Azure DevOps, Azure Monitor, and cloud-based application development practices.
  • Excellent analytical, troubleshooting, and communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated experience designing scalable, highly available distributed systems and collaborating effectively within Agile development teams.

Additional Qualifications

  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies and integrating healthcare, military personnel, or benefits systems.
  • Microsoft Azure certifications and experience with Azure App Services, Azure Functions, Azure API Management, Azure Service Bus, Event Grid, and related Azure integration technologies are highly desirable.
  • Familiarity with ILER, VA Profile, VBMS, and knowledge of NIST, FISMA, FedRAMP, Zero Trust architecture principles, and DevSecOps practices.

Security Clearance Requirements

  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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