ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Venice, FL

Crowe LLP

Machine Learning Engineer

Sarasota, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138K - $161K/yr

We are seeking an experienced engineer with a strong academic background in engineering/science ... Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI ...

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138K - $161K/yr

We are seeking an experienced engineer with a strong academic background in engineering/science ... Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI ...

LaBine and Associates

DSP Engineer

Sarasota, FL

$138K - $161K/yr

We are seeking an experienced engineer with a strong academic background in engineering/science ... Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI ...

CACI

Senior Systems Engineer (MBSE)

Sarasota, FL

$114K - $252K/yr

Senior Systems Engineer (MBSE) Job Category: Engineering Time Type: Full time Minimum Clearance ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

New

Northcentral Florida

Data Scientist

Sarasota, FL · On-site

... and data engineering to support data insights for the campus. Examples of Duties * Extract and ... Proficiency and experience with machine learning & deep learning models * Proficiency and ...

Anonymous Employer

5 Axis Programmer CNC

Sarasota, FL

$43.27 - $69.71/hr

... Engineer to join an advanced precision manufacturing operation in Sarasota, Florida. This is a senior-level, hands-on position for a true 5-axis professional who can independently take a complex ...

Tenex.AI Inc

Threat Detection Engineer

Sarasota, FL · On-site

Tenex is seeking a highly motivated and skilled Threat Detection Engineer to join our growing ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

Consor Engineers

Senior Project Engineer - CEI

Venice, FL · Hybrid

$93K - $121K/yr

Professional Engineer (PE) license. Minimum ten years of construction inspection experience ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Senior Project Engineer - CEI

Venice, FL · Hybrid

$93K - $121K/yr

Professional Engineer (PE) license. Minimum ten years of construction inspection experience ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Senior Project Engineer - CEI

Venice, FL · Hybrid

$93K - $121K/yr

Professional Engineer (PE) license. Minimum ten years of construction inspection experience ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Senior Project Engineer - CEI

Venice, FL · Hybrid

$93K - $121K/yr

Professional Engineer (PE) license. Minimum ten years of construction inspection experience ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Venice, FL

Senior Machine Learning Engineer information

See Venice, FL salary details

$56K

$119.1K

$172.7K

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

As of Aug 31, 2026, the average yearly pay for senior machine learning engineer in Venice, FL is $119,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,100.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Venice, FL look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Venice, FL are:

What cities near Venice, FL are hiring for Senior Machine Learning Engineer jobs?

Cities near Venice, FL with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Venice, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $119,113 per year, or $57.3 per hour.

Machine Learning Engineer

Sarasota, FL • On-site

Roper Technologies
Software Development • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

56th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Roper Technologiesexternal

Full-time

Re-posted 24 days ago

Job description

Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. 
This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy. 
 
We are looking for hands-on engineers who are excited about building production-grade AI systems—not just prototypes—and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired.
 
What You’ll Do 
 
AI & ML System Development 
  • Design, build, and deploy machine learning models and AI systems in production environments 
  • Develop components such as:
    • Model inference services 
    • Data and feature pipelines
    • Complex recommendation and matching services
    • Vision based analysis systems
    • Evaluation and monitoring pipelines 
  • Optimize models for performance, reliability, and cost efficiency      
Intelligent Agents & Applied AI 
  • Contribute to the development of AI agents and multi-step workflow automation systems 
  • Build systems that integrate with enterprise tools and APIs 
  • Implement tool-use frameworks, memory mechanisms, and evaluation loops 
  • Experiment with LLMs, foundation models, and fine-tuning approaches 
  • Help translate AI research advances into practical, scalable solutions 
Engineering Excellence 
  • Write high-quality, maintainable, and well-tested code 
  • Participate in architecture design and technical reviews 
  • Contribute to CI/CD pipelines and MLOps workflows 
  • Implement observability and monitoring for AI systems in production 
  • Follow security, compliance, and responsible AI best practices 
Cross-Functional Collaboration 
  • Partner with product, data engineering, and infrastructure teams 
  • Help identify high-impact AI use cases within portfolio companies 
  • Support integration of shared AI components into business applications 
  • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders 
Qualifications 
 
We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly.  
Required 
  • 3+ years of experience in software engineering, data science, or machine learning (more for senior roles) 
  • Experience building and deploying production software systems 
  • Strong programming skills in Python (experience in additional languages is a plus) 
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) 
  • Understanding of modern AI architectures, including LLM-based systems 
  • Experience working with cloud environments (AWS, Azure, or GCP) 
  • Strong problem-solving skills and attention to detail 
 
Preferred  
  • Experience with:
    • Fine tuning, experimentation, etc.
    • Rapid development using AI tools 
    • Agent frameworks and orchestration tools 
    • Distributed systems or microservices architecture 
    • Model monitoring and evaluation frameworks 
  • Experience building reusable libraries or shared infrastructure 
  • Exposure to SaaS products or enterprise software environments 
  • Background in optimizing models for performance and cost
Leveling & Growth 
 
We are hiring across multiple experience levels: 
  • Intermediate ML Engineer – Contributes independently to projects, builds production features, collaborates cross-functionally. 
  • Senior ML Engineer – Owns complex systems end-to-end, drives architectural decisions, mentors others. 
  • Principal / Staff ML Engineer – Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure. 
Level and compensation will be determined based on experience and demonstrated expertise. 
 
What We Value 
  • Strong engineering fundamentals 
  • Practical, impact-driven AI development 
  • Curiosity and willingness to experiment responsibly 
  • Ownership mindset and bias toward execution 
  • Ability to balance innovation with reliability 
Why Join Roper 
  • Work on high-impact AI systems across a diverse portfolio of leading software businesses 
  • Build reusable infrastructure that scales across industries 
  • Collaborate with experienced engineering and executive leadership 
  • Shape the next generation of intelligent enterprise software 

What Roper Technologies employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply