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Remote Machine Learning Jobs in Winter Garden, FL

Senior Software & AI Engineer

Maitland, FL · On-site +1

$114K - $150K/yr

Prior involvement in greenfield projects where you've contributed to foundational technology decisions Working Conditions This position may be hybrid or fully remote. Occasional evening or weekend ...

You will start out learning our systems from the ground up, helping to develop secure applications and refactoring existing .NET 2/4 web forms. You will be working in a continuous lifecycle ...

You will start out learning our systems from the ground up, helping to develop secure applications and refactoring existing .NET 2/4 web forms. You will be working in a continuous lifecycle ...

Showing results 41-44

Remote Machine Learning information

See Winter Garden, FL salary details

$22.5K

$37.6K

$77.7K

How much do remote machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote machine learning in Winter Garden, FL is $37,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $40,600.00 per year, depending on experience, location, and employer.

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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
What are popular job titles related to Remote Machine Learning jobs in Winter Garden, FL? For Remote Machine Learning jobs in Winter Garden, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Winter Garden, FL look for? The top searched job categories for Remote Machine Learning jobs in Winter Garden, FL are:
What cities near Winter Garden, FL are hiring for Remote Machine Learning jobs? Cities near Winter Garden, FL with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Winter Garden, FL as of August 2026, with employment types broken down into 15% Internship, 43% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $37,617 per year, or $18.1 per hour.

Senior Software & AI Engineer

Axiom Bank, N.A.

Maitland, FL • On-site, Remote

$114K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

At Axiom Bank, we encourage you to aim for the sky and leverage your expertise and passion to excel. We are a growing, dynamic organization – this is an exciting time to get on board!

We believe in the value of promoting a healthy work/life balance and are committed to recognizing the role everyone plays in our ongoing success. We offer the following benefits to our Full Time Employees:

  • 12 Paid Holidays
  • Generous Paid Time Off
  • 4% Match on our 401(k)
  • Medical, Dental and Vision Benefits
  • 100% Company Paid Life, AD&D Insurance, Short and Long Term Disability
About the Role

We’re a growing bank building our digital presence - a modern digital banking and data platform backed by robust core integrations and cloud-first infrastructure. This isn’t a maintenance role. You’ll be one of the first senior engineers on the team, writing production code every day while helping lay the technical foundation for everything we build.

Because we’re early, you’ll have a genuine seat at the table on technology choices such as the stack, patterns, and tooling. We’re looking for someone who takes that responsibility seriously: an engineer who is deeply hands-on with real banking or fintech experience, and who is ready to grow into a technical anchor for the team as we hire and scale.

What You’ll Do
  • Design, build, and ship features across our digital banking platform — full-stack, from backend services and APIs through to customer-facing interfaces
  • Help shape and document the technology decisions that define how we build: language and framework choices, architecture patterns, data modeling, and integration approaches
  • Integrate with banking cores, payment rails (ACH, wire, real-time payments), and third-party fintech partners
  • Own your work end to end: requirements, design, implementation, testing, deployment, and production support
  • Leverage AI and agentic tooling to augment the software development lifecycle (SDLC) using approved tooling such as Agentic IDEs, LLMs and harnesses, spec-driven frameworks, and skills
  • Keep up to date with AI and agentic related developments related to software development and participate in related discussions and decisions
  • Write clean, well-tested, reviewable code and hold the same standard for your teammates through thoughtful code review
  • Contribute to CI/CD pipeline health and cloud infrastructure using infrastructure-as-code practices
  • Mentor and support engineers as the team scales through code review, pairing, and leading by example
  • Collaborate directly with product, compliance, and operations stakeholders to turn requirements into well-designed, auditable systems
  • This position does not include supervisory responsibilities
What We’re Looking ForRequired
  • 6+ years of professional software engineering experience with a strong full-stack background - solid on the backend, capable on the front end
  • Demonstrated experience in banking, payments, or regulated fintech such as core banking integrations, payment rails, or compliance-aware systems
  • Solid understanding of microservices architecture, API design (REST and/or gRPC), and event-driven patterns
  • Cloud platform experience (AWS, Azure, or GCP) including deploying and operating services in production
  • Familiarity with AI/LLM developer tooling or agent-assisted development workflows
  • Familiarity with CI/CD pipelines and infrastructure-as-code practices
  • Relational database proficiency: schema design, query optimization, and data modeling
  • Track record of writing well-tested, maintainable code and conducting meaningful code reviews
  • Clear communicator who is able to work directly with product and non-technical stakeholders, and to make and defend technical trade-offs
  • Comfortable operating with ambiguity and ownership in an early-stage environment where not every decision has been made yet
Education Requirements
  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering/technical discipline required.

Preferred Skills & Experience

  • Experience with ISO 20022, ACH, wire transfers, or real-time payment systems
  • Banking core integration experience
  • Batch and ETL processing experience in a financial data context
  • Container orchestration experience (Kubernetes or similar)
  • Experience across multiple persistence patterns - relational, NoSQL (document, key-value), and analytical/warehouse stores
  • Prior involvement in greenfield projects where you’ve contributed to foundational technology decisions

Working Conditions

This position may be hybrid or fully remote. Occasional evening or weekend hours may be required during critical implementations, incidents, or regulatory activities.

Some travel will be required to head quarters in Maitland, FL on an as needed basis.

Why This Role

You’ll join early, work on meaningful problems in a regulated but fast-moving environment and have real influence over how we build, not just what you’re assigned to. No legacy codebase to be trapped in, no technology choices already locked in. Just a small, capable team building modern banking infrastructure with the freedom to do it right.

Other Duties -Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

(Reasonable accommodations may be made to enable individuals with disabilities to perform these tasks. If you need an accommodation, please contact us at hr@axiombanking.com)

Axiom Bank does not discriminate in employment opportunities or practices on the basis of any protected status. It is the policy of Axiom Bank to conduct background, credit reference and drug screening tests as a condition of employment. Drug Free Workplace. EOE/AA/Minority, Female, Disabled, Veteran

Axiom Bank is not seeking assistance or accepting unsolicited resumes from search firms for employment or contractor opportunities. Any resumes submitted without a valid contract will be considered the sole property of Axiom Bank and no fee will be paid.