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Junior Machine Learning Engineer Jobs in Melbourne, FL

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... You will work closely with engineers, architects, and cybersecurity stakeholders to integrate ...

Software Engineer

Cape Canaveral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Software Engineer will be responsible for designing, implementing, and maintaining complex ... Machine learning/AI concepts * Performance optimization techniques * Enterprise architecture ...

Software Engineer

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Software Engineer will be responsible for designing, implementing, and maintaining complex ... Machine learning/AI concepts * Performance optimization techniques * Enterprise architecture ...

Senior Cloud Engineer

Satellite Beach, FL

$51.50 - $69/hr

540 is seeking a Senior Cloud Engineer to support our partnership with Google and the Department of ... This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ...

Manage and balance virtual machine resources across hosts in the clusters. * Maintains awareness of ... junior virtualization administrators and other IT staff. * Researching and reporting on new ...

... virtual machine resources across hosts in the clusters. • Maintains awareness of new ... junior virtualization administrators and other IT staff. • Researching and reporting on new ...

Manage and balance virtual machine resources across hosts in the clusters. * Maintains awareness of ... junior virtualization administrators and other IT staff. * Researching and reporting on new ...

Showing results 41-60

Junior Machine Learning Engineer information

See Melbourne, FL salary details

$31.1K

$66.6K

$101.5K

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

As of Aug 14, 2026, the average yearly pay for junior machine learning engineer in Melbourne, FL is $66,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $74,200.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

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 Junior Machine Learning Engineer jobs in Melbourne, FL?

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

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

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

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

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

Infographic showing various Junior Machine Learning Engineer job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $66,470 per year, or $32 per hour.

DevSecOps Engineer

540

Satellite Beach, FL • On-site

Full-time

Re-posted 2 days ago


Job description

540 is seeking a DevSecOps Engineer 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 design, implement, and maintain secure CI/CD pipelines, infrastructure, and platform services that enable reliable and compliant system delivery. You will work closely with engineers, architects, and cybersecurity stakeholders to integrate security throughout the development lifecycle and ensure 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: DevSecOps Engineer III

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

  • Design, build, and maintain secure CI/CD pipelines supporting cloud-native applications and services
  • Implement Infrastructure as Code using tools such as Terraform to provision and manage cloud resources
  • Integrate security controls and best practices into the software development lifecycle (DevSecOps)
  • Support deployment and operation of containerized workloads and cloud-native data pipelines
  • Collaborate with engineers and architects to implement scalable, secure, and resilient system designs
  • Automate build, test, and deployment workflows across multiple environments
  • Support vulnerability management, remediation, and secure configuration practices
  • Implement and maintain cloud security controls, identity management, and access policies
  • Monitor system performance, reliability, and security posture across environments
  • Contribute to technical documentation, runbooks, and system configurations
  • Work with cross-functional teams to ensure delivery aligns with mission needs and compliance requirements

REQUIRED SKILLS & EXPERIENCE

  • 5+ years of experience in DevOps or DevSecOps engineering roles
  • Experience working with Google Cloud Platform (GCP) or similar cloud environments (AWS, Azure)
  • Strong experience building and maintaining CI/CD pipelines
  • Experience with Infrastructure as Code (Terraform or similar tools)
  • Experience with containerized environments (Docker, Helm)
  • Understanding of DevSecOps principles and secure software development practices
  • Experience with cloud networking, identity, and access management concepts
  • Familiarity with vulnerability management and secure configuration practices
  • Proficiency in at least one scripting or programming language (Python, Bash, Go, etc.)
  • Experience working with Linux-based systems
  • Experience with cloud networking, multi-region deployments
  • Strong problem-solving and troubleshooting skills
  • Excellent communication skills and ability to collaborate across teams
  • CompTIA Security+ certification required (or ability to obtain within 30 days of hire)

NICE TO HAVE

  • Experience with Google Cloud services such as Cloud Run, Dataflow, Cloud Build, Pub/Sub, or BigQuery
  • Google Cloud certifications such as Professional Cloud DevOps Engineer or Professional Cloud Security Engineer
  • Experience supporting high-throughput or data-intensive platforms
  • Familiarity with DevSecOps tools for security scanning and compliance automation
  • Experience with API management platforms or service integrations
  • Experience working in DoW or other regulated federal environments
  • Familiarity with RMF, NIST 800-53, or security compliance frameworks
  • Experience with STIGs and securing systems in classified or high-security 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.