1

Weekend Machine Vision Engineer Jobs in Spring Hill, TN

Lead ML Ops Engineer

Nashville, TN · On-site

$99K - $130K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

... copy machines. May require occasional exposure to work environments that may include inclement ... Wellness - Medical, dental and vision insurance, employee assistance program, fitness and wellness ...

... copy machines. May require occasional exposure to work environments that may include inclement ... Wellness - Medical, dental and vision insurance, employee assistance program, fitness and wellness ...

... copy machines. May require occasional exposure to work environments that may include inclement ... Wellness - Medical, dental and vision insurance, employee assistance program, fitness and wellness ...

... copy machines. May require occasional exposure to work environments that may include inclement ... Wellness - Medical, dental and vision insurance, employee assistance program, fitness and wellness ...

Represent Nascote at vendor shops to validate machines prior to delivery. * Investigate process ... Work various shifts, overtime, and weekends when required. * Make safety a top priority in work ...

... analytics and machine learning use cases. Ad-hoc analysis and reporting will remain a core ... Vision) Retirement Plan (401k) Life Insurance Paid Time Off Short Term & Long Term Disability ...

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Our medical, dental, vision, and life insurance benefits are available from the first day of ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Area Industrial Engineer

Spring Hill, TN · On-site

$66K - $87K/yr

... machine time, energy and other resources that do not generate value.The ability to work in a ... The selected candidate will be required to travel About GM Our vision is a world with Zero Crashes ...

Area Industrial Engineer

Spring Hill, TN · On-site

$66K - $87K/yr

... machine time, energy and other resources that do not generate value. The ability to work in a ... The selected candidate will be required to travel About GM Our vision is a world with Zero Crashes ...

Represent Nascote at vendor shops to validate machines prior to delivery. * Investigate process ... Work various shifts, overtime, and weekends when required. * Make safety a top priority in work ...

Senior Systems Engineer

Nashville, TN · Remote

$100K - $138K/yr

... into machine language for use on specific hardware. The engineer supports software testing ... Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings ...

next page

Showing results 1-20

Weekend Machine Vision Engineer information

See Spring Hill, TN salary details

$29.6K

$121.1K

$181.9K

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

As of Jul 3, 2026, the average yearly pay for weekend machine vision engineer in Spring Hill, TN is $121,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What cities near Spring Hill, TN are hiring for Weekend Machine Vision Engineer jobs? Cities near Spring Hill, TN with the most Weekend Machine Vision Engineer job openings:
Lead ML Ops Engineer

Lead ML Ops Engineer

Cliftonlarsonallen

Nashville, TN • On-site

$99K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants


Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

#LI-JH1


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.


Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012