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

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off L3Harris Enterprise Data and AI team is ...

Remote Machine Learning information

See Melbourne, FL salary details

$23.6K

$39.5K

$81.6K

How much do remote machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote machine learning in Melbourne, FL is $39,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 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.

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

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

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

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

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $39,472 per year, or $19 per hour.

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Northrop Grumman Corporation

Melbourne, FL • On-site, Remote

Full-time

Medical, Life, PTO

Re-posted 21 days ago


Northrop Grumman rating

8.2

Company rating: 8.2 out of 10

Based on 365 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: Top SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is seeking an experiencedPrincipal or Senior Principal Data Scientistto join our team of qualified, diverse individuals in Melbourne, Fl. This position is required full-time, in-office. There is no option for remote or hybrid work arrangements.

Accomplish

We are seeking a first-principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre-built tools; this is an opportunity to architect and build the core data logic of our systems. You will be responsible for creating custom, high-performance statistics and machine learning tools from the ground up, making meaning of complex data sets. Your work will involve deep data modeling, abstracting reusable patterns, and writing modular, maintainable code that stands the test of time.

Essential Functions:

  • Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.

  • Architect and develop custom, maintainable data science solutions from the ground up.

  • Write and maintain tests and documentation for data architecture, workflows, and processes.

  • Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.

  • Tune and optimize complex algorithms within our on-premise infrastructure.

Succeed

The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.

**This requisition may be filled at either a Principal Level or a Sr. Principal Level**

Basic Qualifications for a Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 5 years of relevant experience, OR Master of Science degree in relevant fields with 3 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Basic Qualifications for a Sr Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 8 years of relevant experience, OR Master of Science degree in relevant fields with 6 years of relevant experience, OR PhD/Doctorate degree in relevant fields with 4 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Preferred Qualifications:

  • Master's degree or higher, in Data Science or related discipline.

  • 7 years of experience in software development.

  • Experience with C/C++.

  • Experience with machine learning pipelines and data science workflows.

  • Familiarity with SQL Alchemy, Numpy, Pandas, SKLearn, PyTorch.

  • Ability to troubleshoot and optimize complex data queries and workflows.

  • Familiarity with big data concepts, machine learning pipelines, and MLOps.

  • Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.

  • Ability to work in a fast-paced environment.

Primary Level Salary Range: $108,200.00 - $162,400.00Secondary Level Salary Range: $135,000.00 - $202,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939