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Vice President Machine Learning R Jobs in Florida

IMG Academy

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

Responsible for advanced analytics, machine learning, and applied data science to improve customer ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

IMG Academy

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

Responsible for advanced analytics, machine learning, and applied data science to improve customer ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

Lucky Strike Entertainment

$225 - $275/hr

Senior Vice President (SVP) of Bowling Machine Operations, Maintenance and Support · Location: Corporate Headquarters in Miami, FL/ National oversight. Travel Required. · Goal: Lead the global ...

VAXCARE LLC

VP, Enterprise Partnerships

Orlando, FL · On-site

VP, Enterprise Partnerships Job Title: VP, Enterprise Partnerships Position Type: Full Time Work ... Learning - Burning curiosity to learn without ego - Adaptability & Embracing Change - Nimbleness ...

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Infographic showing various Vice President Machine Learning R job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Vice President of AI Engineering (Orlando)

Signify Technology

Orlando, FL • On-site

$240K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Own the AI and machine learning engineering strategy and roadmap, and align it to commercial outcomes.

  • Build, lead, and grow the AI engineering, machine learning, and MLOps teams, including hiring and mentoring.

  • Take AI capabilities from prototype into production, with the evaluation, monitoring, and reliability that requires.

Job description

Job title: Vice President of AI Engineering

Job type: Perm

Salary: $240,000 to $310,000 base plus performance bonus (DOE)

Role Location: Florida (Hybrid or Onsite) preferred. Remote considered nationally for the right leader.

The company: Signify Technology is retained on a confidential search for a Vice President of AI Engineering. Our client is past the pilot stage on AI and is now hiring an executive to take it into production properly, with ownership of the strategy, the platform, the spend, and the team. This is a genuine build seat rather than a caretaker one, reporting into the CTO or executive leadership, with a mandate to turn AI investment into shipped product. Because this is a confidential search, the client is named on a first conversation.

Role And Responsibilities
  • Own the AI and machine learning engineering strategy and roadmap, and align it to commercial outcomes.
  • Build, lead, and grow the AI engineering, machine learning, and MLOps teams, including hiring and mentoring.
  • Set the architectural direction for AI systems, including large language model integration, retrieval-augmented generation, and agentic workflows.
  • Take AI capabilities from prototype into production, with the evaluation, monitoring, and reliability that requires.
  • Own the MLOps and model lifecycle practice, covering deployment, versioning, drift detection, and retraining.
  • Own AI infrastructure and compute spend, including model selection, inference cost, and build-versus-buy decisions.
  • Establish responsible AI practice, including model governance, evaluation standards, bias review, and data handling.
  • Partner with Product, Data, and Security leadership to embed AI into the product and the operating model.
  • Evaluate the vendor and model landscape and own those commercial relationships.
  • Act as the credible internal and external voice on what AI can and cannot deliver for the business.
Job Requirements
  • 10 or more years in software or machine learning engineering, with 5 or more years leading engineering teams at manager, director, or above.
  • Proven ownership of an AI or machine learning strategy and the budget behind it.
  • Demonstrated track record of shipping AI or machine learning systems into production at scale, not only proofs of concept.
  • Deep, hands-on background in Python and modern machine learning frameworks.
  • Strong expertise with large language models, including fine-tuning, retrieval-augmented generation, and evaluation methodology.
  • Solid MLOps grounding, including model deployment, monitoring, and lifecycle management.
  • Experience deploying AI workloads in AWS, Azure, or GCP, with real awareness of inference economics.
  • Track record of building, leading, and retaining an engineering organization.
  • Legally authorized to work in the United States.
Benefits
  • Competitive base salary plus performance bonus
  • Medical, dental, and vision coverage
  • 401(k) with employer match
  • Paid time off and paid holidays
  • Executive ownership of the AI function, its platform, and its budget
  • A team you build and lead directly
  • A real mandate and real budget, not an innovation-theatre seat

Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Check out our DE&I page here: https://www.signifytechnology.com/diversity-and-inclusion/

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