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Remote Machine Learning Architect Jobs in Lakeland, FL

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Architect and implement entity resolution logic to de-duplicate and link disparate data points into ... Background supporting machine learning or real-time decisioning use cases from a platform point of ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Architect and implement entity resolution logic to de-duplicate and link disparate data points into ... Background supporting machine learning or real-time decisioning use cases from a platform point of ...

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Remote Machine Learning Architect information

See Lakeland, FL salary details

$43.3K

$120K

$187.8K

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

As of Aug 29, 2026, the average yearly pay for remote machine learning architect in Lakeland, FL is $120,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

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

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What job categories do people searching Remote Machine Learning Architect jobs in Lakeland, FL look for?

The top searched job categories for Remote Machine Learning Architect jobs in Lakeland, FL are:

What cities near Lakeland, FL are hiring for Remote Machine Learning Architect jobs?

Cities near Lakeland, FL with the most Remote Machine Learning Architect job openings:

Infographic showing various Remote Machine Learning Architect job openings in Lakeland, FL as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,030 per year, or $57.7 per hour.

Cloud Architect - Platform Architecture (Remote)

Lakeland, FL • Remote


Publix Super Markets, Inc.
Retail • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 4,711 frontline employees who took The Breakroom Quiz

28th of 123 rated grocery stores

Free food

Recommended by students

Recommended by parents


$60.50 - $77.25/hr

Full-time

Re-posted 19 days ago


Job description

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. 
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership. 
Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix. 
You will be joining the Publix Platform Architecture team. As a Cloud Architect, you should have a deep understanding of relevant cloud technologies and their relationships, as well as the cost implications of cloud resources. You will design large-scale, multi-region, and multi-cloud architectures and integrate cloud services to create highly available and resilient cloud solutions. Your role includes addressing information governance and security challenges associated with public clouds. Additionally, you should be able to thoroughly document your work and changes to the cloud environment effectively.
Location: Virtual/remote employment for this position in the following states only: FL, GA, AL, TN, SC, NC, VA, KY.
Why Join Us? 
  • Operational Efficiency:  Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. 
  • Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization. 

 Your Impact  
  •  Demonstrate deep subject matter leadership of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
  • Manage the development and implementation of cloud strategy, develop the architecture governance framework, and define architecture foundations.
  • Define, implement, and enforce the cloud operating environment, cloud standards, and associated tools/platforms/frameworks.
  • Contribute to the Publix cloud road map and delivery strategy for cloud, multi-cloud, and hybrid implementations.
  • Define and enforce Cloud architecture best practices: high availability, resiliency, redundancy, performance optimization, disaster recovery, observability, and data integration patterns.
  • Recommend cost optimizations and ensure cloud resources are operating as efficiently as possible.
  • Deep dive into cloud resource configurations and issues, along with partnering with cross functional team members to produce and roll out fixes for long-term solutions.
  • Act as a Subject Matter Expert (SME) to the organization for end-to-end cloud architecture best practices including networking, provisioning, and management.
  • Develop and publish a library of deployable and documented cloud architecture design patterns based on the organization's application portfolio as a basis for deploying services to the cloud.
  • Act as the coach and mentor to team members, including mentoring on cloud standards, frameworks, etc., as well as will be a vital enabler of the organization's cultural change for cloud adoption.
  • Lead the definition and development of cloud reference architecture and management systems.
  • Manage and appropriately escalate delivery roadblocks, risks, issues, and challenges.
  • Validate the effectiveness and optimization of cloud resources once they go-live by measuring and monitoring availability, latency, and overall system health.
  • Troubleshoot issues across the entire stack: IaaS, PaaS, services, applications, network, and security.
  • Identify recurring problems/bottlenecks and build the tools and processes to prevent problems from recurring.
  • Collaborate with Architecture, Development, Engineering, and Security teams to ensure well-architected cloud solutions.


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