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Remote Machine Vision Engineer Jobs in Columbus, OH

Omni One

Be Seen First

CNC Applications Engineer

Columbus, OH · Remote

$30 - $50/hr

CNC Applications Engineer $30 - $50 per hour, paid overtime Remote 29196 This global company is a ... Install new or modified CNC operated machinery at customer's facility * Coordinate the setup and ...

New

LSI Industries, Inc.

Machine Operator

Columbus, OH · On-site

$16.50 - $19.50/hr

Verify accuracy of documentation per work orders, machine programming, and customer specifications ... Dental insurance * Vision insurance * Paid time off EEOC LSI is committed to a diverse and ...

LFP Associates

Environmental Engineer III

Columbus, OH · On-site

$80K - $90K/yr

NO REMOTE: NO Are you an experienced Environmental Engineer? Do you enjoy working in a fast-paced ... machinery OTHER BENEFITS: · Tuition reimbursement · Health insurance · 401(k) matching · Vision ...

LSI Industries, Inc.

Machine Operator

Upper Arlington, OH · On-site

$16.50 - $19.50/hr

Verify accuracy of documentation per work orders, machine programming, and customer specifications ... Dental insurance * Vision insurance * Paid time off EEOC: * LSI is committed to a diverse and ...

LSI Industries, Inc.

Machine Operator

Columbus, OH · On-site

$16.50 - $19.50/hr

Verify accuracy of documentation per work orders, machine programming, and customer specifications ... Dental insurance * Vision insurance * Paid time off EEOC: * LSI is committed to a diverse and ...

LSI Industries, Inc.

Machine Operator

Columbus, OH

$16.50 - $19.50/hr

Verify accuracy of documentation per work orders, machine programming, and customer specifications ... Dental insurance * Vision insurance * Paid time off EEOC: * LSI is committed to a diverse and ...

Daifuku

AMUS Machine Operator II

Reynoldsburg, OH

$15.50 - $18.50/hr

Medical, Dental, and Vision available day one * Optional Critical Illness and Accident Insurance ... Specifically, the Machine Operator I I is responsible for programming and operating industrial ...

Daifuku

AMUS Machine Operator II

Reynoldsburg, OH · On-site

$15.50 - $18.50/hr

Medical, Dental, and Vision available day one * Optional Critical Illness and Accident Insurance ... Specifically, the Machine Operator I I is responsible for programming and operating industrial ...

Saransh Inc

Okta Engineer - Remote

Columbus, OH · On-site

Okta Engineer Work Location: Columbus, OH or Plano, TX or Remote Duration: Long Term The Engineer ... Foundational understanding of the InfoSec team's strategy and vision. Actively works as a change ...

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Remote Machine Vision Engineer information

See Columbus, OH salary details

$30.4K

$124.4K

$186.9K

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

As of May 31, 2026, the average yearly pay for remote machine vision engineer in Columbus, OH is $124,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.
What are popular job titles related to Remote Machine Vision Engineer jobs in Columbus, OH? For Remote Machine Vision Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Machine Vision Engineer jobs in Columbus, OH are:
Remote Machine Vision Engineer jobs near you
Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer

CapTech Consulting

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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