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Machine Learning Engineer Associate Jobs in Tampa, FL

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Scientist

Tampa, FL ยท On-site +1

$110K - $130K/yr

We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level. Role Overview We're seeking a Data ...

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

NGA AI Engineer Manager

Tampa, FL ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Solutions Engineer

Saint Petersburg, FL ยท On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer - Databricks

Tampa, FL ยท On-site

$108K - $129K/yr

This role will design and build data pipelines, deploy machine learning solutions, and ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy ...

Data Engineer - Databricks

Tampa, FL ยท Hybrid

$108K - $129K/yr

This role will design and build data pipelines, deploy machine learning solutions, and ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

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Machine Learning Engineer Associate information

See Tampa, FL salary details

$39.2K

$78.1K

$124.7K

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

As of Jul 14, 2026, the average yearly pay for machine learning engineer associate in Tampa, FL is $78,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $89,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Tampa, FL? The most popular types of Machine Learning Engineer jobs in Tampa, FL are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Tampa, FL? For Machine Learning Engineer Associate jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Tampa, FL look for? The top searched job categories for Machine Learning Engineer Associate jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Machine Learning Engineer Associate jobs? Cities near Tampa, FL with the most Machine Learning Engineer Associate job openings:
MS Azure Data and AI Solution Architect

MS Azure Data and AI Solution Architect

Arbitration Forums Inc.

Tampa, FL โ€ข Remote

$65 - $84.75/hr

Full-time

Re-posted yesterday


Job description

DEPARTMENT: Data Insights and Innovation

JOB TITLE: Microsoft Azure Data and AI Solution Architect

JOB CODE: MZDASA

REPORTS TO: Chief Innovation Officer

FLSA STATUS: Non-Exempt

EMPLOYMENT TYPE: Contract-to-Perm

JOB PURPOSE:

This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).

The Microsoft Azure Data and AI Solution Architect will be responsible for designing, developing, and implementing data and AI solutions that meet our business needs. This role will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to design and implement Azure architectures, and manage Azure services and products as the Azure Data and AI ecosystem.

DEPARTMENTAL EXPECTATION OF EMPLOYEE

  • Adheres to AF Policy and Procedures and the AF Leadership Brand
  • Acts as a role model within and outside AF.
  • Performs duties as workload necessitates.
  • Maintains a positive and respectful attitude.
  • Communicates regularly with supervisor about Department issues.
  • Demonstrates flexible and efficient time management and ability to prioritize workload.
  • Consistently reports to work on time, prepared to perform duties of the position.
  • Meets Department productivity standards.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Azure Data and AI Ecosystem:

  • Design, implement, and integrate Azure services such as Azure Data Fabric, Azure Data Factory, OneLake, Purview Unified Catalog, AI Foundry, Machine Learning, Cognitive Services, Power BI, Power Automate, and application services to deliver high quality data and AI products to our members.
  • Generate and spearhead the execution of a multi-year implementation roadmap for the Azure data and AI ecosystem that includes individual components and their integration to create a continuum to support AFโ€™s AI-powered solutions.
  • Optimize the Azure data and AI ecosystem to iteratively support growing complexity and more sophisticated operations as new use cases and AI solutions are identified and delivered.
  • Ensure that Azure-based data and AI solutions include embedded metrics to understand performance and aid in maintenance and support activities.
  • Operate and administer AFโ€™s data and AI Azure ecosystem to ensure that best practices are utilized and alignment of AFโ€™s operating, security and compliance polices are observed.
  • Manage the Azure data and AI ecosystem costs, working with stakeholders to identify and set budgets for Azure services, and monitoring consumption and licensing for Azure data and AI products and services.
  • Orchestrate the utilization of Azure AI suite of products and services to support best practices in the development, testing, integration, and deployment of AI models and algorithms.
  • Coordinate with data engineers and teams, AI engineers and developers, application and infrastructure teams, and data governance and security teams to ensure that deployed AI-powered solutions are ready for hand off to support teams, ensuring knowledge transfer is adequate for the successful maintenance and support of AI solutions.
  • Identify and resolve technical issues related to cloud infrastructure and applications, providing timely support and solutions.

Collaboration and Strategy:

  • Work closely with IT, data engineers, data analysts, data scientists, and business stakeholders.
  • Provide technical leadership and mentorship to junior data team members.
  • Stay updated on Azure cloud products and services as well as best practices, making recommendations for continuous improvement.

ADDITIONAL DUTIES AND RESPONSIBILITIES

  • Support data observability and AI explainability efforts to ensure the data continuum and enforce governance standards.
  • Other duties assigned by manager or project needs.

QUALIFICATIONS

Experience, Education and Licensure

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Information Systems, Data Science, or a related field.
  • Minimum of 8 years of experience in cloud architecture, defining end to end ecosystems to support advanced analytics and AI solutions.
  • Relevant Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are a plus.
  • Proven experience as a solutions architect in a cloud environment.

Technical Skills:

  • In-depth knowledge of Azure data services (e.g., Azure Fabric, Azure Data Factory, OneLake, Data warehouse), AI services (AI Foundry, Azure Machine Learning, Azure Cognitive Services, etc.), Azure Application and Integration Services (API Management, Application Gateway, Power Automate).
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
  • Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools (e.g., Power BI).
  • Strong knowledge of data governance, data security, and compliance practices.
  • Experience with data catalogs and lineage plotting tools.
  • Deep understanding of AI models lifecycles, from initial data sourcing to deployment and production model upkeep.
  • Working knowledge and proficiency in the development of implementation and adoption plans for composable AI offerings, including documentation of configuration requirements.

Soft Skills:

  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills to collaborate with cross-functional teams.
  • Ability to lead projects and mentor junior staff.
  • Auto Insurance claims industry experience preferred.

AMERICANS WITH DISABILITY SPECIFICATIONS

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

WORK ENVIRONMENT

This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.