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Machine Learning Startup Jobs in Florida (NOW HIRING)

Persona AI

Software Engineering Intern

Pensacola, FL · On-site

Machine learning applications in robotics and autonomous systems * Real-time software development and embedded systems programming * Collaborative software development in a fast-paced startup ...

GRUBBRR

Sales Development Representative

Boca Raton, FL · On-site

Share in the success of a rapidly scaling mid-stage startup. * Tech Pioneers: Work with AI, machine learning, facial recognition, digital sensors, and other groundbreaking technologies. Come be part ...

GRUBBRR

Sales Development Representative

Boca Raton, FL · On-site

Share in the success of a rapidly scaling mid-stage startup. * Tech Pioneers: Work with AI, machine learning, facial recognition, digital sensors, and other groundbreaking technologies. Come be part ...

SynthBee, Inc.

ML Engineer

Pembroke Pines, FL · On-site

SynthBee, Inc. is seeking a Machine Learning Engineer who can take AI models from research to ... Required : • Proven experience building and deploying AI applications (ideally in a startup or ...

AMPERA INC

AI / Software Engineer

Palm Beach Gardens, FL · On-site +1

As a rapidly growing company, AMPERA merges the agility of a startup with the ambition of a global ... This role will focus on applying machine learning, automation, and high-performance computing to ...

LSI

MACHINE OPERATOR I

Jacksonville, FL

$21.17 - $28.22/hr

... learning products, and comprehensive, dynamic technical publications. LSI employee-owners ... Performs machine startup/shutdown procedure, setup, in-process observation, in-process inspection ...

Jiffy

Sr. Product Manager (Generalist)

Miami, FL · On-site

$150K - $200K/yr

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Jiffy

Sr. Product Manager (Generalist)

Miami, FL · Hybrid

$150K - $200K/yr

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99.90K - $137.20K/yr

Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the ... Other primary responsibilities include designing and implementing machine learning models ...

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Machine Learning Startup information

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$19.1K

$31.8K

$65.8K

How much do machine learning startup jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning startup in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

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

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.
More about Machine Learning Startup jobs
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Machine Learning Startup jobs near you

Senior AI Business Consultant

Tata Consultancy Service Limited

Delray Beach, FL • On-site

$203.70K - $275.60K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Senior AI Consultant will lead AI-driven transformation initiatives for North American Utilities clients. This role targets senior practitioners with deep strategic advisory experience, strong technical credibility, and a proven track record of building and scaling AI teams and solutions. Candidates who have led AI departments, Centers of Excellence, or founded / operated AI-focused
companies will be given strong preference.
Roles & Responsibilities
Define and lead AI & GenAI strategy for electric, gas, and water utilities
Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation
Architect and deliver end-to-end AI and GenAI solutions from concept to production
Lead large-scale AI programs across grid operations, asset management, customer operations, and energy transition
Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP)
Build and scale AI teams, Centers of Excellence, and reusable accelerators
Support pre-sales, RFPs, executive solutioning, and strategic pursuits
Qualifications:
Technical Expertise:
AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face
Generative AI & LLMs: GPT, Claude, Llama, Gemini; prompt engineering and agentic architectures
Cloud AI Platforms: Azure Machine Learning, Azure OpenAI, AWS SageMaker & Bedrock, Google Vertex AI
MLOps: CI/CD pipelines, model monitoring, governance, retraining, and security
Data Platforms: Databricks, Snowflake, cloud-native data lakes
Utility Systems & Data: SCADA, AMI, OMS, GIS, DERMS, EAM
Preferred Skills / Background:
Former Head of AI, Chief AI Officer, AI Practice Leader, or AI Startup Founder
Experience running AI departments, AI CoEs, or small AI-focused companies • Proven record of building AI teams and scaling production-grade AI solutions
Prior consulting experience with North American utilities Certifications
Relevant certifications in AI/ML and cloud platforms:
Azure AI Engineer Associate
AWS Certified Machine Learning Specialty
Google Professional Machine Learning Engineer
Certifications in Generative AI tools
Education:
Bachelors degree in Computer Science, AI/ML, Data Science, or a related field (Masters or PhD preferred)
Salary Range: 203,700-275,600 a year
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