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Remote Machine Learning Engineer Jobs in Tampa, FL

Bond-Pro Inc

Senior Software Engineer

Tampa, FL · On-site +1

$115K - $152K/yr

SENIOR SOFTWARE ENGINEER Overview We're looking for a Senior Software Engineer who can operate ... Experience with Machine Learning, NLP or AI - applied experience integrating AI/ML components into ...

Varsity Tutors

Data Science Tutor

Tampa, 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 ...

Varsity Tutors

Data Science Tutor

Saint Petersburg, 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 ...

micro1 AI

AI Trainer - Microbiology Expert

Tampa, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Lakeland, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Tampa, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Tampa, FL

Remote Machine Learning Engineer information

See Tampa, FL salary details

$29.8K

$121.7K

$182.9K

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

As of Sep 9, 2026, the average yearly pay for remote machine learning engineer in Tampa, FL is $121,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $146,500.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Tampa, FL?

The most popular types of Machine Learning Engineer jobs in Tampa, FL are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Tampa, FL?

For Remote Machine Learning Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Tampa, FL look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Tampa, FL are:

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

Cities near Tampa, 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 Tampa, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,689 per year, or $58.5 per hour.

Senior Software Engineer

Tampa, FL • On-site, Remote

Bond-Pro Inc
Software Development • 1 - 10 employees
Learn more about Bond-Pro Incexternal

$115K - $152K/yr

Full-time

Posted 16 days ago

Job description

SENIOR SOFTWARE ENGINEER


Overview

We're looking for a Senior Software Engineer who can operate independently within an Agile team, take ambiguous requirements from concept to production, and bring architectural judgment to how we structure and process data at scale. This is not a developer from a particular tech stack, but rather a true software engineer who can and will work with any number of languages without restriction.

We are only accepting candidates currently residing in the state of Florida, Georgia or Texas at this time.


Responsibilities

  • Work within a Scrum/Agile team through the full sprint cycle - backlog refinement, sprint planning, capacity estimation, daily standups, sprint review, and retrospectives.
  • Participate in requirement refinement sessions with product owners and stakeholders, turning ambiguous asks into well-scoped, estimable stories.
  • Apply modern software design patterns and enforce separation of concerns across the codebase, ensuring components remain loosely coupled and independently testable.
  • Design and build proofs of concept (POCs) to validate new approaches before committing to full implementation.
  • Integrate AI/ML and/or NLP components into production systems.
  • Design and implement systems that handle structured (CSV, relational), semi-structured (JSON), unstructured, and schema-bound formats like Avro, including the tradeoffs between them for storage, processing and schema evolution.
  • Contribute to big data architecture and design patterns - batch and/or streaming pipelines, data partitioning, and scalable processing approaches.
  • Collaborate with UI/UX on interface design decisions, ensuring frontend implementation aligns with usability and design intent.
  • Mentor junior developers through code review, pairing, and design discussions.

Required Qualifications

  • Proven experience working in Scrum/Agile teams, including sprint planning, capacity estimation, and iterative delivery.
  • Strong grasp of modern design patterns (e.g., strategy, factory, repository, observer) and the "separation of concerns" principle - able to explain not just what it is, but why it matters for maintainability and testability.
  • Experience with UI/UX collaboration and requirement refinement.
  • Hands-on experience with structured, semi-structured, unstructured, and schema-based data formats (CSV, JSON, Avro).
  • Big data technology experience (e.g., Spark, Kafka, Hadoop ecosystem or equivalent) and associated design patterns.
  • Demonstrated experience building and validating POCs.
  • Experience designing and building microservices architectures - service decomposition, inter-service communication (REST/gRPC/event-driven messaging), API contracts and independent deployability.
  • Strong understanding of data layer and persistence design patterns - repository pattern, unit of work, CQRS, data access layer abstraction, ORM vs. raw query tradeoffs, caching strategies and both relational (SQL) and NoSQL database design.
  • Experience with cloud platforms - AWS, Azure or Google Cloud Platform (GCP) - including core compute, storage, and managed data services on at least one major provider.
  • Experience with Machine Learning, NLP or AI - applied experience integrating AI/ML components into production systems.

Desirable

  • Proficiency in one or more modern languages beyond your primary stack - Python, Scala, Go, Java, Kotlin, Rust, TypeScript/Node.js or C# - with the versatility to pick up new languages as project needs evolve.
  • Multi-cloud exposure across AWS, Azure, and GCP, and familiarity with cloud-native patterns (containers, Kubernetes, serverless, managed data/streaming services).
Employment Type: FULL_TIME

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