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Machine Learning Engineer Jobs in Jupiter, FL (NOW HIRING)

Manufacturing Engineer II

Stuart, FL · On-site

$61K - $79K/yr

... learning. Location: Stuart, FL. On-Site. Responsibilities: * Program, set up, and operate CNC ... Analyze and recommend new equipment and machinery to improve quality, productivity, and operational ...

Senior Fleet Performance Analyst

Juno Beach, FL · On-site

$88K - $116K/yr

Perform asset performance diagnostics using machine learning and time-series analysis techniques ... Own month-end operational performance reporting by engineering ETL workflows, coordinating cross ...

The successful candidate should possess deep expertise in time-series forecasting, machine learning ... Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods

Data Architect

North Palm Beach, FL · On-site

$63.75 - $82/hr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information ... Experience supporting AI, machine learning, and advanced analytics initiatives through scalable ...

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

Showing results 41-60

Machine Learning Engineer information

See Jupiter, FL salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Jupiter, FL is $125,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Jupiter, FL?

The most popular types of Machine Learning Engineer jobs in Jupiter, FL are:

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

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

Infographic showing various Machine Learning Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,914 per year, or $60.5 per hour.

Manufacturing Engineer II

Pursuit Aerospace

Stuart, FL • On-site

$61K - $79K/yr

Other

Medical, Retirement, PTO

Re-posted 10 days ago


Pursuit Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

211th of 493 rated machine equipment manufacturers


Job description

About Us:

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a commitment to relentless, continuous, operational improvement and extraordinary customer service. We pride ourselves on competitive cost structure, exceptional on-time delivery, and industry-leading quality.

The Pursuit family of companies has cultivated long-term relationships with our customers around the world through respect, teamwork, technology, and trust. We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers. Our exceptional quality is driven by a deep investment in and the daily practice of continually improving our people, processes, and products.

About the Opportunity:

As a Manufacturing Engineer II, you will leverage your experience and technical expertise to develop innovative solutions, optimize manufacturing processes, and lead initiatives that drive quality, cost efficiency, and productivity in our aerospace manufacturing operations. You will work collaboratively with cross-functional teams to troubleshoot challenges, drive continuous improvement, and enhance manufacturing capabilities. You will also serve as a mentor and coach to early-career engineers, fostering their professional growth and contributing to a culture of continuous learning.

Location: Stuart, FL. On-Site.


Responsibilities:

  • Program, set up, and operate CNC turning and milling equipment.
  • Independently develop and refine manufacturing process plans, specifying sequences, equipment, tooling, and techniques to ensure efficiency and compliance with specifications.
  • Design, document, and optimize CNC programs to achieve high-quality, cost-effective production.
  • Serve as a key technical liaison with customers to address and resolve issues or requests, including blueprint clarifications and engineering changes.
  • Lead tooling design and procurement initiatives to maximize manufacturing efficiency while controlling costs.
  • Perform root cause analysis on production issues and implement effective corrective actions.
  • Own and drive process improvements to enhance first-pass yield and reduce downtime.
  • Analyze and recommend new equipment and machinery to improve quality, productivity, and operational cost-effectiveness.
  • Provide technical leadership in continuous improvement programs and actively mentor junior engineers.
  • Prepare cost estimates for products, tooling, equipment, and processes to support pricing and production planning.
  • Maintain accurate documentation, including process instructions, standard operating procedures, and machine settings.
  • Act as a mentor and coach to early-career engineers, fostering technical growth and professional development within the team.
  • Maintain compliance with Pursuit Aerospace's quality systems, safety protocols, and operational standards.
  • Lead Kaizen workshops
  • Operate in a hands-on environment where engineers are expected to be on the shop floor 50%+ of the time supporting the operators and operations

Required Qualifications:

  • Bachelor's degree in Engineering
  • At least 3 years of manufacturing engineering experience
  • Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future. The Company cannot offer employment to visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.
  • Must be able to perform work subject to ITAR/EAR regulations.

Preferred Qualifications:

  • Mechanical, Manufacturing, or Aerospace Engineering degree is preferred.
  • Experience working in an AS9100 environment
  • CAD skills preferred - NX / Solid Edge
  • CNC milling and turning or precision machining experience.
  • Proficiency in CNC programming, tooling design, and advanced manufacturing processes.
  • Proficient in PFMEA, Control Planning, and measurement system analysis (MSA)
  • Ability to work with metrology equipment or inspection in process control
  • Strong knowledge of Lean Manufacturing and Six Sigma principles, Six Sigma Green Belt certified preferred
  • Advanced problem-solving and analytical skills with the ability to manage multiple projects.
  • Excellent interpersonal and communication skills to effectively collaborate across teams and with customers.
  • Proficiency in CAD software, ERP systems, and advanced Microsoft Office tools.

Working Conditions:

  • Must be able to have prolonged periods sitting at a desk and working on a computer.
  • Must be able to frequently sit, stand and walk.
  • Must be able to lift and carry up to 15 pounds.
  • Personal protective equipment (e.g., safety glasses and safety shoes) is required on the shop floor
  • Occasional weekend and evening work may be required to accommodate priorities, deadlines, and schedules.

Acknowledgements:

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

Benefits:

Pursuit Aerospace also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements, among other things.

Equal Opportunity Employer:

Pursuit Aerospace is an Equal Opportunity Employer. We adhere to all applicable federal, state, and local laws governing nondiscrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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