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Freelance Machine Vision Engineer Jobs in Phoenix, AZ

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... machine vision systems. * Develop scalable architectures capable of processing large volumes of ...

Airbus Ventures

Automation Engineer

Tempe, AZ · On-site

$70 - $90/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

Industrious Ventures

Automation Engineer

Tempe, AZ · On-site

$75 - $95/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

Solestial, Inc.

Automation Engineer

Tempe, AZ · On-site

As an Automation Engineer , you will design, develop, and support automated manufacturing equipment ... This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ...

Solestial, Inc.

Automation Engineer

Tempe, AZ · On-site

$85 - $110/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

ASM

Snr Engineer, Systems Engineering

Phoenix, AZ · On-site

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

Bridge Point

Automation Engineer

Waddell, AZ · On-site

Position Summary The Automation Engineer is responsible for developing, implementing ... Machine vision * Ethernet/IP, Profinet, Modbus * AutoCAD Electrical * Industrial networking * MES ...

Bridge Point

Automation Engineer

Waddell, AZ · On-site

Position Summary The Automation Engineer is responsible for developing, implementing ... Machine vision * Ethernet/IP, Profinet, Modbus * AutoCAD Electrical * Industrial networking * MES ...

ASM

Snr Engineer, Systems Engineering

Phoenix, AZ · On-site

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

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All JobsMachine Vision Engineer JobsFreelance Machine Vision Engineer JobsFreelance Machine Vision Engineer Jobs in Phoenix, AZ

Freelance Machine Vision Engineer information

See Phoenix, AZ salary details

$31.3K

$127.9K

$192.1K

How much do freelance machine vision engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for freelance machine vision engineer in Phoenix, AZ is $127,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is a freelance machine vision engineer?

A Freelance Machine Vision Engineer is a specialist who designs, develops, and implements computer vision systems on a project or contract basis. These professionals work independently with various clients to create solutions that enable machines to interpret and process visual information, such as images and videos, for tasks like quality inspection, object detection, or automation. Their work often involves programming, selecting appropriate hardware, and integrating vision systems into larger processes or machines. Freelancers in this field may serve industries like manufacturing, robotics, agriculture, or healthcare, depending on project needs.

What are the key skills and qualifications needed to thrive as a freelance machine vision engineer?

To excel as a Freelance Machine Vision Engineer, you need a solid background in computer vision, image processing, and programming, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, TensorFlow, and industrial camera systems, as well as relevant certifications, is highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top performers in this role. These capabilities are crucial for delivering innovative, client-focused solutions and adapting to diverse project requirements in a rapidly evolving industry.

How do freelance machine vision engineers typically manage client expectations and project timelines?

Freelance machine vision engineers often balance multiple projects and clients, making clear communication essential for managing expectations and deadlines. They usually begin by setting detailed project scopes, deliverables, and realistic timeframes in consultation with clients. Regular progress updates, milestone check-ins, and transparent reporting help prevent misunderstandings and ensure alignment throughout the development process. By proactively addressing potential challenges and being adaptable to changes, freelancers can maintain client satisfaction and build long-term relationships.

What is the difference between Freelance Machine Vision Engineer vs Machine Vision Engineer?

AspectFreelance Machine Vision EngineerMachine Vision Engineer
CredentialsTypically requires a degree in engineering or computer science; certifications are optionalUsually holds a degree in related fields; certifications can enhance prospects
Work EnvironmentIndependent, project-based, often remote or on-site at client locationsEmployed full-time at companies, labs, or research institutions
Employer & Industry UsageServes multiple clients across industries like manufacturing, robotics, and automationWorks within a single organization, focusing on internal projects

Freelance Machine Vision Engineers typically work independently on diverse projects, offering flexibility and a broad industry reach. In contrast, Machine Vision Engineers are usually employed full-time within organizations, focusing on specific company goals. Both roles require technical expertise, but their work settings and employment structures differ significantly.

What are the most commonly searched types of Machine Vision Engineer jobs in Phoenix, AZ?

The most popular types of Machine Vision Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Freelance Machine Vision Engineer jobs in Phoenix, AZ?

For Freelance Machine Vision Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Vision Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Freelance Machine Vision Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Freelance Machine Vision Engineer jobs?

Cities near Phoenix, AZ with the most Freelance Machine Vision Engineer job openings:

Freelance Machine Vision Engineer jobs near you
Infographic showing various Freelance Machine Vision Engineer job openings in Phoenix, AZ as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $127,856 per year, or $61.5 per hour.

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 19 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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