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Remote Machine Learning Jobs in Orlando, FL (NOW HIRING)

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 ...

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Remote Machine Learning information

See Orlando, FL salary details

$23.8K

$39.8K

$82.1K

How much do remote machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote machine learning in Orlando, FL is $39,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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.

What are the most commonly searched types of Machine Learning jobs in Orlando, FL?

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

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

Cities near Orlando, FL with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $39,752 per year, or $19.1 per hour.

Senior Software Engineer - Contact Center Technology

ASCENSUS

Lake Mary, FL • Remote

$107K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

At Ascensus, we are building a team that is empowered to use AI to solve the business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation.

We are looking to add a software engineer who will design, develop, and support conversational AI solutions that enhance customer and associate experiences across our contact center platforms. This role combines software engineering, generative AI, prompt engineering, and customer engagement technologies to deliver virtual agents, intelligent self-service capabilities, agent assist solutions, and AI-powered business workflows. If you're AI-Forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You'll work with a modern tech stack including Python, .NET, Azure OpenAI, LangChain, PostgreSQL, Docker, Cursor, Git, Azure DevOps, NICE CXone, AI Agents, and conversational AI technologies to deliver high value software to our business.

Section 2: Job Functions, Essential Duties and Responsibilities

Design, develop, test, and maintain conversational AI experiences including voice bots, chatbots, virtual assistants, and agent-assist solutions using NICE CXone, Azure OpenAI, and related technologies.

Create and optimize conversational flows, prompts, intents, and knowledge retrieval mechanisms to improve customer and associate experiences.

Analyze conversation transcripts and interaction data to continuously improve AI accuracy, containment rates, and customer satisfaction.

Develop integrations between NICE CXone and internal systems using APIs, event-driven architectures, and AI services.

Support the design and implementation of intelligent routing, self-service, and automation capabilities within the contact center ecosystem.

Partner with contact center business teams to identify opportunities for AI-driven process automation and customer experience improvements.

Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents.

Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value.

Monitor AI solution performance and implement safeguards to ensure accuracy, compliance, reliability, and responsible AI usage.

Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines.

Work with PostgreSQL and other data technologies to design efficient, reliable data models.

Develop and consume REST APIs to enable seamless integration across services and platforms.

Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team.

Contribute to the evolution of our AI-driven development environment using tools like Cursor.

Stay current with emerging technologies and bring a mindset of continuous learning and experimentation.

Section 3: Experience, Skills, Knowledge Requirements

A strong interest in leveraging AI and the latest tools to drive innovation and efficiency.

Extensive experience using .NET to develop web applications and back-end services

Extensive experience designing, developing, and integrating REST APIs in distributed systems and enterprise applications.

Ability to design, develop, test, and maintain scalable MCP server architectures using Python

Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code.

Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks.

Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability.

Experience with NICE CXone or similar contact center platforms such as Genesys, Five9, Amazon Connect, or Cisco Contact Center.

Understanding of contact center operations, including inbound and outbound customer engagement.

Familiarity with IVR design, intelligent routing, call flows, skills-based routing, and self-service automation.

Experience integrating contact center platforms with CRM, case management, and enterprise business systems.

Experience designing, implementing, or supporting virtual agents, chatbots, voice bots, or conversational AI platforms.

Understanding of natural language processing (NLP), natural language understanding (NLU), speech recognition, and text-to-speech technologies.

Experience evaluating and improving AI-generated responses for accuracy, effectiveness, and customer experience outcomes.

Experience working with other developers, quality engineers (QE), ops engineers and support engineers to ensure smooth deployment and continual operation

Strong problem-solving skills, attention to detail, and a passion for learning and applying new technologies.

Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.

Familiarity or experience with Agile engineering practices (test driven development, continuous integration and pair programming, etc.

Ability to work with legacy systems while contributing to modernization efforts.

Familiarity with Agile methodologies and open-source development practices.

The national average salary range for this role is$100K-160K in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visitcareers.ascensus.com/#Benefits

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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