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Principal Machine Learning Engineer Jobs in Florida

Acclaim

Principal Machine Learning Engineer

Miami, FL · On-site +1

Strong coding and engineering skills Responsibilities * Develop and improve TTS / Voice Generation models * Train, fine-tune, and evaluate speech models * Bring research ideas into production systems

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

Citadel

Machine Learning Engineer

Miami, FL

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

Indeed

Machine Learning Engineer

Miami, FL

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

ClifyX

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable ...

ENSCO

Machine Learning Engineer

Melbourne, FL

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

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All JobsPrincipal Machine Learning Engineer JobsPrincipal Machine Learning Engineer Jobs in Florida

Principal Machine Learning Engineer information

See Florida salary details

$55.3K

$110K

$158.8K

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

As of Jun 20, 2026, the average yearly pay for principal machine learning engineer in Florida is $110,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can a Principal Machine Learning Engineer typically expect in this role?

Principal Machine Learning Engineers are often tasked with leading the design, development, and deployment of large-scale machine learning models and systems that address key business challenges. In this role, you will collaborate closely with data scientists, engineers, and product managers to define project requirements, architect solutions, and ensure high-quality delivery. You may also guide research initiatives, oversee code and model reviews, and mentor junior engineers, helping to shape the technical direction of the team. Typical responsibilities can range from prototyping and optimizing algorithms to ensuring models are scalable, reliable, and aligned with organizational goals.

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

To thrive as a Principal Machine Learning Engineer, you need advanced expertise in machine learning algorithms, statistical analysis, software engineering, and a strong background in computer science or related fields, often supported by a master's or PhD degree. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP, Azure), and relevant certifications strengthens technical capability. Leadership, strategic thinking, effective communication, and mentorship are vital soft skills for guiding teams and collaborating across departments. These competencies are essential for driving innovation, ensuring technical excellence, and influencing organizational AI initiatives.

What does a Principal Machine Learning Engineer do?

A Principal Machine Learning Engineer leads the design, development, and deployment of machine learning models and systems. They set technical strategy, mentor engineers, and collaborate with cross-functional teams to solve complex AI challenges. Their role often includes researching new algorithms, optimizing model performance, and ensuring scalability in production environments. Additionally, they work closely with data scientists, software engineers, and product managers to align ML initiatives with business objectives.

What engineers make $500,000?

Principal Machine Learning Engineers and senior AI specialists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can reach or exceed $500,000 in total compensation, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a strong track record, leadership responsibilities, and sometimes stock options or bonuses.

How much do principal AI engineers make?

Principal AI engineers typically earn between $130,000 and $200,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in machine learning, deep learning, and data science, and may receive bonuses or stock options as part of compensation packages.

What is the salary of principal machine learning engineer?

The salary of a principal machine learning engineer typically ranges from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior roles often include bonuses, stock options, and other benefits, reflecting the high level of expertise required in machine learning, data analysis, and software development tools.

Which 5 jobs will survive AI?

Principal Machine Learning Engineers are likely to continue playing a vital role as AI advances, focusing on developing and deploying complex models that require deep expertise in algorithms, data science, and software engineering. Jobs that involve creative problem-solving, strategic decision-making, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to persist. Roles emphasizing emotional intelligence, interpersonal skills, and adaptability will remain resilient despite AI automation.
What are popular job titles related to Principal Machine Learning Engineer jobs in Florida? For Principal Machine Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Principal Machine Learning Engineer jobs in Florida look for? The top searched job categories for Principal Machine Learning Engineer jobs in Florida are:
Principal Machine Learning Engineer jobs near you
Infographic showing various Principal Machine Learning Engineer job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,016 per year, or $52.9 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Acclaim

Miami, FL • On-site, Remote

Full-time

Posted 3 days ago

Job description

Description
We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on TTS / Voice Generation, to help build and scale production-grade speech systems.
This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.
Requirements
  • 5+ years of experience in Speech AI, preferably TTS / Voice Generation
  • TTS has been a primary focus in recent years
  • Hands-on experience training and fine-tuning TTS models
  • Proven experience deploying ML models into real production environments
  • Strong understanding of inference, latency, scaling, monitoring, and reliability
  • Strong ML background overall (ML Scientist / ML Engineer trajectory)
  • Strong coding and engineering skills

Responsibilities
  • Develop and improve TTS / Voice Generation models
  • Train, fine-tune, and evaluate speech models
  • Bring research ideas into production systems
  • Work across research, engineering, and product
  • Help define technical direction and ML best practices
  • Drive execution in a fast-changing environment
  • Collaborate closely with engineering, product, and business stakeholders

What we offer
  • Experienced team, Acclaim is formed by a team of enthusiastic professionals who have created award-winning devices, voice assistants, and other AI-driven products for BigTech corporations
  • Cutting-edge technologies, we build technologies using our areas of expertise, including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI, etc. LLM and Diffusion models
  • Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies
  • Remote work opportunities from Europe / US
  • The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products
  • A company with entrepreneurial spirit. We offer a secure workspace, thanks to the big clients we've raised, along with a true start-up culture.

Apply