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Machine Learning Software Engineer Jobs in Florida

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... Software Engineer capable of transforming complex signal intelligence data into actionable ... Architect and implement advanced artificial intelligence and machine learning architectures ...

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... Software Engineer capable of transforming complex signal intelligence data into actionable ... Architect and implement advanced artificial intelligence and machine learning architectures ...

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... Software Engineer capable of transforming complex signal intelligence data into actionable ... Architect and implement advanced artificial intelligence and machine learning architectures ...

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Machine Learning Software Engineer information

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$47.5K

$110.2K

$153.6K

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

As of May 30, 2026, the average yearly pay for machine learning software engineer in Florida is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

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

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Florida? The most popular types of Machine Learning Software Engineer jobs in Florida are:
What are popular job titles related to Machine Learning Software Engineer jobs in Florida? For Machine Learning Software Engineer jobs in Florida, the most frequently searched job titles are:
What are popular job titles related to Machine Learning Software Engineer jobs in FL? For Machine Learning Software Engineer jobs in FL, the most frequently searched job titles are:
Infographic showing various Machine Learning Software Engineer job openings in Florida as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution, with an average salary of $110,243 per year, or $53 per hour.

Senior Software Engineer (AI/ML) with Security Clearance

540.co LLC

Patrick Air Force Base, FL • Hybrid

$114.60K - $151.10K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

540 is seeking a Senior Software Engineer (AI/ML) to support our partnership with Google and the Department of Defense 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. The system leverages cloud-native infrastructure, while incorporating AI/ML capabilities to enhance signal analysis, anomaly detection, and data-driven insights. Engineers on this team build and scale full-stack features across user interfaces, backend services, and data pipelines that power mission-critical analytics. You’ll play a key role in integrating AI/ML-driven capabilities into production systems, enabling faster, more accurate operational decision-making. Location: Patrick SFB, FL (Patrick Space Force Base). Primarily onsite, up to 5 days/week. Travel up to 25%.
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoD clearance with TS/SCI eligibility
Education Requirement: Bachelor's Degree in Computer Science or related field (preferred)
540 Internal Thrive Level: Senior Software Engineer 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 and develop machine learning models and applications for deployment to cloud-native services
Collaborate with data engineers and data scientists to productionize machine learning models and data pipelines
Collaborate with a cross-functional team of architects, engineers, and scientists to design and deploy Machine Learning Operations (MLOps) at scale Integrate AI/ML capabilities into production systems (e.g., model inference APIs, decision-support features, anomaly detection workflows)
Design and optimize data models and persistence layers to support both transactional and analytical workloads
Enable intelligent application behavior by delivering AI and ML features to user-facing applications
Contribute to technical design documentation and system architecture artifacts
Lead or participate in code reviews, testing, and troubleshooting to ensure high-quality software
Drive system reliability through robust testing
Improve system performance, scalability, and reliability as the platform evolves REQUIRED SKILLS & EXPERIENCE 8+ years of professional software development experience
Experience developing microservices in containerized environments
Experience with, or a strong conceptual understanding of, LLM-based applications, RAG pipelines, and AI-driven decision systems
Experience with Python
Experience working with relational databases and data warehouses
Experience integrating AI/ML capabilities into applications (e.g., working with model inference APIs, ML pipelines, or data-driven features)
Ability to produce technical design documentation (system diagrams, architecture artifacts)
Familiarity with MLOps concepts (model deployment, monitoring, versioning)
Ability to design with future scalability and platform evolution in mind Demonstrated ownership and ability to drive work from concept to production
Strong problem-solving skills and ability to navigate ambiguity
Excellent communication skills, including working directly with stakeholders or clients NICE TO HAVE Experience with Google Cloud Platform (GCP) or similar cloud environments
Experience designing and consuming RESTful APIs
Experience with API gateways and API management platforms, such as Google Apigee
Familiarity with API authentication and authorization (PKI, OAuth2, JWT, LDAP, SAML, etc.)
Experience working on U.S. Federal Government programs, particularly DoD environments
Google Cloud Professional-level certifications 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.