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Freelance Machine Vision Engineer Jobs in Texas (NOW HIRING)

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team ... Design and implement machine learning models that can operate in resource-constrained environments ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

... PhD in Computer Vision, Machine Learning, Robotics, or related field • Prior experience ... programming for accelerated computer vision processing • Experience training and deploying ...

Cymertek Corporation

Machine Learning Engineer

San Antonio, TX · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning EngineerLOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Vision Engineer, AI/ML Researcher, Data Analyst, ect. DEGREE (Level Desired) Bachelor's Degree ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

NOV, Inc.

Automation and Controls Engineer

Navasota, TX · On-site

$69K - $92K/yr

Program and troubleshoot PLCs, HMIs, machine vision systems, and related controls. * Create and ... Maintain technical documentation and engineering records. * Comply with all NOV, Quality, and HSE ...

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Freelance Machine Vision Engineer information

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 Texas?

The most popular types of Machine Vision Engineer jobs in Texas are:

What are popular job titles related to Freelance Machine Vision Engineer jobs in Texas?

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

What job categories do people searching Freelance Machine Vision Engineer jobs in Texas look for?

The top searched job categories for Freelance Machine Vision Engineer jobs in Texas are:

What cities in Texas are hiring for Freelance Machine Vision Engineer jobs?

Cities in Texas 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 Texas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

Re-posted 29 days ago

Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.

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