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Remote Machine Learning Engineer Jobs in Melbourne, FL

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Structural Engineer (SE) The Position The Structural Engineer (SE) for Above Group shall contribute ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Structural Engineer (SE) The Position The Structural Engineer (SE) for Above Group shall contribute ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Structural Engineer (SE) The Position The Structural Engineer (SE) for Above Group shall contribute ...

Outcome Learning:Results-focused learning that strengthens individual and organizational capacity ... Electrical Engineer (EE) The Position The Electrical Engineer (EE) for Above Group shall contribute ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Electrical Engineer (EE) The Position The Electrical Engineer (EE) for Above Group shall contribute ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Melbourne, FL salary details

$29.2K

$119.2K

$179.1K

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

As of Jul 14, 2026, the average yearly pay for remote machine learning engineer in Melbourne, FL is $119,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 is a Remote Machine Learning Engineer job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Melbourne, FL? The most popular types of Machine Learning Engineer jobs in Melbourne, FL are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Melbourne, FL? For Remote Machine Learning Engineer jobs in Melbourne, FL, the most frequently searched job titles are:
What cities near Melbourne, FL are hiring for Remote Machine Learning Engineer jobs? Cities near Melbourne, FL with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Melbourne, FL as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,212 per year, or $57.3 per hour.
Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

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 9 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

107th of 527 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