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Ml Platform Engineer Jobs in Florida (NOW HIRING)

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

... s Platform Engineer The Opportunity: Are you looking for an opportunity to make a difference? What ... Experience with AI/ML/LLM security such as Hidden Layer * Experience automating, monitoring and ...

Lead Engineer

Tampa, FL · On-site

$100K - $132K/yr

You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery ...

Lead Engineer

Tampa, FL · On-site

$96K - $127K/yr

You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery ...

Data & AI Platform Engineer

Boca Raton, FL

$108K - $130K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

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Ml Platform Engineer information

See Florida salary details

$24

$47

$70

How much do ml platform engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ml platform engineer in Florida is $47.79, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $55.14 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What job categories do people searching Ml Platform Engineer jobs in Florida look for?

The top searched job categories for Ml Platform Engineer jobs in Florida are:

What cities in Florida are hiring for Ml Platform Engineer jobs?

Cities in Florida with the most Ml Platform Engineer job openings:

Infographic showing various Ml Platform Engineer job openings in Florida as of August 2026, with employment types broken down into 57% Full Time, 40% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $99,409 per year, or $47.8 per hour.

Platform Engineer

DTCC

Tampa, FL • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

JOB DESCRIPTION

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:

The Systems Engineering family is responsible for the entire technical effort to evolve and verify solutions that satisfy client needs. The primary focus is centered on reducing risk and improving the efficiency, performance, stability, security, and quality of all systems and platforms. The Platform Hosting & Engineering role specializes in the development, implementation, and support of all distributed, mainframe, and network hosting services across the firm. Responsible for the installation, configuration, programming, and support of operating systems, complex networks, and distributed environments, deploying solutions to increase overall system reliability across the firm.

Your Primary Responsibilities:

  • Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro.
  • Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource utilization and high performance.
  • Develop and maintain MLOps pipelines for model training, validation, and deployment.

Implement Amazon Bedrock capabilities including Guardrails and Knowledge Bases to enable secure use of foundation models.

  • Design and manage AI agent infrastructure using Bedrock Agent Core, including agent orchestration, memory, gateway, and runtime components for enterprise-scale deployments.
  • Manage and maintain AWS Athena infrastructure, ensuring availability, performance, and proper configuration for analytical workloads.
  • Implement cloud automation and infrastructure-as-code using Terraform, with CI/CD pipelines managed through Jenkins.
  • Work with AWS services including VPC, Subnets, EC2, IAM, Security Groups, ECS, S3, ELB, Auto Scaling, Lambda, AWS Glue, Athena, EMR, and ADX to support platform and infrastructure operations.
  • Configure SageMaker environments with network and security rules including VPC peering, endpoint creation, and security group configurations

Perform system upgrades and maintenance for distributed data platforms across multiple AWS accounts.

  • Implement centralized logging, monitoring, and compliance reporting for AI/ML systems

Collaborate with governance and risk teams to ensure compliance and approval of AI/ML models.

  • Enable secure data access and governance across accounts using data-sharing and access control mechanisms.
  • Deploy machine learning models using AWS SageMaker, enabling predictive analytics and data-driven decision-making.
  • Automate infrastructure provisioning using Terraform for SageMaker resources (KMS keys, S3 buckets, etc.).
  • Configure cross-account integrations for Snowflake across all environments

Create customized CloudWatch alarms and configure log ingestion pipelines (CloudWatch to Splunk).

Qualifications:

  • Minimum of 4 years of related experience
  • Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

  • Fosters a culture where honesty and transparency are expected.
  • Stays current on changes in his/her own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date.
  • Collaborates well within and across teams.
  • Communicates openly with team members and others.
  • Resolves disagreements between colleagues effectively, minimizing the impact on the wider team.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT US

With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC’s subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn , X , YouTube , Facebook and Instagram .

DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.

Learn more about Clearance and Settlement by clicking here .

ABOUT THE TEAM

Serves as a dedicated technology resource for advancing DTCC’s business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC’s mission to support the financial markets.