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Remote Machine Vision Engineer Jobs in Catonsville, MD

Staff Engineer

Baltimore, MD · Remote

$70 - $85/hr

Staff Engineer, location is Remote (with hybrid conversion). The start date is July 2026 for this 6 ... Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is ...

Administer virtual machine lifecycles using VMware and KVM. * Manage package ecosystems such as RPM ... Onsite presence required; remote work not applicable. Education Requirements: * Bachelor's degree ...

BAS Engineer Full-Time Remote $95,000 - $120,000 Do you have knowledge of HVAC controls systems ... Benefits 401(k) and Roth IRA 401(k) matching Dental insurance Health insurance Vision insurance ...

Support VDI connectivity engineering, ensuring remote users on macOS and Windows platforms can ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Support VDI connectivity engineering, ensuring remote users on macOS and Windows platforms can ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Support VDI connectivity engineering, ensuring remote users on macOS and Windows platforms can ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Support VDI connectivity engineering, ensuring remote users on macOS and Windows platforms can ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Showing results 21-40

Remote Machine Vision Engineer information

See Catonsville, MD salary details

$29.8K

$121.8K

$183.1K

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

As of Aug 23, 2026, the average yearly pay for remote machine vision engineer in Catonsville, MD is $121,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,600.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote machine vision engineer?

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 are popular job titles related to Remote Machine Vision Engineer jobs in Catonsville, MD?

For Remote Machine Vision Engineer jobs in Catonsville, MD, the most frequently searched job titles are:

What cities near Catonsville, MD are hiring for Remote Machine Vision Engineer jobs?

Cities near Catonsville, MD with the most Remote Machine Vision Engineer job openings:

Infographic showing various Remote Machine Vision Engineer job openings in Catonsville, MD as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $121,823 per year, or $58.6 per hour.

Data Engineer

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 12 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0244467
Location:
Fort Meade,MD,US
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Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. Given the expansion of big data analytics, new challenges are emerging for the integration of data sets. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from cyber risk identification to acquisition programs to DOW mission decomposition.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 4+ years of experience with Python, PySpark, SQL, and Databricks
  • 2+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics
  • 2+ years of experience working within the Maven Smart System (MSS), developing or supporting mission-focused data workflows, applications, and analytic capabilities
  • Experience integrating, transforming, and validating data from multiple structured and semi-structured sources using APIs, SQL, and modern data engineering practices
  • Experience developing scalable data pipelines, data models, and data products that support operational planning, analytics, and executive decision-making
  • Experience working with large, complex datasets while ensuring data quality, performance, and reliability
  • Ability to communicate complex technical concepts clearly and effectively to technical teams, operators and executive stakeholders
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience using DoD data platforms such as Advana and Qlik for data integration, ingestion, and visualization
  • Experience with the Defense Acquisition Visibility Environment (DAVE)
  • Experience documenting data analytics processes and maintaining reproducible analytic methods
  • Experience engaging data owners to establish sharing agreements that enable the establishment of data pipelines
  • Experience applying machine learning or natural language processing to operational or intelligence data
  • Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
  • Experience developing data governance frameworks and standards
  • Knowledge of cybersecurity data and analytics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914