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Senior Machine Learning Engineer Jobs in Melbourne, FL

We are looking for a Senior Geophysicist to provide scientific and engineering support to the Air ... Experience utilizing machine learning techniques for signal detection, event association, and/or ...

Senior Electrical Engineer

Melbourne, FL ยท On-site

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ...

Senior Electrical Engineer

Melbourne, FL ยท On-site

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning:Results-focused learning that strengthens individual and organizational capacity ...

Senior Electrical Engineer

Melbourne, FL ยท On-site

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning:Results-focused learning that strengthens individual and organizational capacity ...

Senior Electrical Engineer

Melbourne, FL ยท On-site

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ...

Senior Electrical Engineer

Melbourne, FL ยท Remote

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ...

Senior Electrical Engineer

Melbourne, FL ยท On-site

$120K - $160K/yr

Senior Electrical Engineer Salary $120K - $160K Above Group Overview We offer you the opportunity ... Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ...

Senior Systems Engineer

Melbourne, FL ยท On-site

$78K - $163K/yr

Senior Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Senior Systems Engineer

Melbourne, FL ยท On-site

$96K - $132K/yr

Senior Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Showing results 41-60

Senior Machine Learning Engineer information

See Melbourne, FL salary details

$55.2K

$117.3K

$170.1K

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

As of Sep 8, 2026, the average yearly pay for senior machine learning engineer in Melbourne, FL is $117,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Melbourne, FL?

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

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

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

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

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

Infographic showing various Senior Machine Learning Engineer job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,309 per year, or $56.4 per hour.

Senior Solutions Architect

540

Patrick Air Force Base, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Key responsibilities

  • Lead the technical architecture and delivery of a real-time data platform built on Google Cloud.

  • Support engineering teams in designing, building, and troubleshooting distributed systems and cloud-native applications.

  • Design and guide implementation of scalable, secure, and maintainable cloud architectures.


Job description

540 is seeking a Senior Solutions Architect to support our partnership with Google and the Department of War in advancing mission-critical capabilities for a global data processing platform. This platform leverages Machine Learning, modern cloud and containerized technologies to ingest, process, and analyze high-volume, time-series data.

In this role, you will lead technical architecture efforts and drive the design and delivery of complex, distributed systems that enable near real-time analysis and mission insight. You will operate at the intersection of data engineering, platform architecture, cybersecurity and mission operations, ensuring systems are scalable, resilient, and secure within highly regulated, high-impact environments.

Location: Patrick SFB, FL or Arlington, VA. Candidates should be local to either location. Onsite support may be required based on mission and customer needs. Travel up to 25%
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW clearance with TS/SCI eligibility
Education Requirement: Bachelor's Degree in Computer Science or related engineering field (preferred)
540 Internal Thrive Level: Senior Solutions Architect

WHY 540?

540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.

HOW YOU'LL DRIVE IMPACT

  • Provide expertise on cloud cybersecurity and architecture to engineers and stakeholders
  • Lead the technical architecture and delivery of an Air Force real-time data platform built on Google Cloud
  • Design and guide implementation of scalable, secure, and maintainable cloud architectures
  • Work shoulder to shoulder with engineers, architects, and product stakeholders to translate mission needs and build technical solutions and platform capabilities
  • Support engineering teams in the design, building, and troubleshooting distributed systems and cloud-native applications
  • Guide decisions across cloud architecture, networking, system design, and service integrations
  • Design and support CI/CD pipelines and automated deployment workflows for multiple services
  • Collaborate with technical and non-technical stakeholders to gather requirements, evaluate tradeoffs, and deliver practical solutions
  • Produce clear technical documentation for architecture decisions, system design, and platform configurations
  • Provide hands-on technical leadership, contributing to implementation when needed
  • Work directly with client stakeholders and delivery teams to ensure solutions meet mission needs and timelines

REQUIRED SKILLS & EXPERIENCE

  • 8+ years of experience in a technical leadership or architecture role
  • Experience designing and building enterprise cloud architectures (AWS, Azure, or Google Cloud)
  • Experience with Python and strong programming ability in a typed language (Java, Kotlin, C#, etc.)
  • Strong experience working containerized environments
  • Experience designing and operating cloud-based and distributed systems
  • Experience building or supporting CI/CD pipelines and automated deployment workflows
  • Experience designing and operating event-driven or asynchronous systems
  • Understanding of authentication and authorization protocols (SAML, OAuth, etc.)
  • Understanding of IoT Components and Concepts
  • Professional-level cloud architecture certification (preferably Google Cloud Professional Cloud Architect) or the ability to obtain within 30 days of start date
  • DoW 8140 IAT-compliant certification (e.g., CompTIA Security+) or the ability to obtain within 6 months of start date
  • Excellent communication skills, with the ability to work across technical and non-technical stakeholders
  • Ability to work independently with clients while also collaborating effectively with engineering teams

NICE TO HAVE

  • Experience with identity and access management tools (Keycloak)
  • Experience with AI/ML platforms (Vertex AI)
  • Experience with database design and development
  • Experience designing and operating data pipelines or ETL/ELT pipelines
  • Familiarity with DevSecOps practices
  • Experience with Linux administration (especially RHEL)
  • Experience with API gateways or API management platforms (Apigee preferred)
  • Experience working in Agile development environments
  • Experience supporting U.S. Federal Government programs, particularly DoW environments

BENEFITS & PERKS

  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability 
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches) 
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)

540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.