Computer Vision

What We Do

From Defense and Security firms, to Health and Education, we help the best Computer Vision talent find rewarding careers. 

As Artificial Intelligence continues to make inroads into the mainstream, we are seeing an increased use of Computer Vision led technologies. Greater need for these programmes has led to a significant increase in demand for those who can develop the algorithms that teach machines how to interpret images and videos. 

Whether you’re developing new defense systems, helping to detect broken bones, or creating the world’s next immersive video game, our Computer Vision team understand the importance of placing the right talent in the right business. 

How We Do it

Our specialist Computer Vision team’s unique understanding ensures exceptional service throughout the entirety of your job search or recruitment process. 

We have developed an in-depth knowledge of the market, as well as the different types of organizations that we work with, and their diverse requirements.

By understanding the full picture, are we able to deliver staffing solutions that ensure the very best outcome for everyone we work with.

What sets us apart

Whatever your specialism, we have the knowledge, the network, and the required drive to find the best possible result.

Our specialty is matching highly experienced and skilled talent, with world leading organizations and forward-thinkers who see the opportunities that Computer Vision offers. 

We have a unique understanding of this arena and excellent relationships with some of the best organizations around. If you’re hoping to change career or are looking for the next member of your team, we can help you. 

Latest Jobs

Salary

US$130000 - US$150000 per annum

Location

Philadelphia, Pennsylvania

Description

Are you passionate about creating the next generation of UAV's?

Salary

US$160000 - US$170000 per annum

Location

Boston, Massachusetts

Description

Do you want to influence the autonomous navigation industry while tackling our nation's toughest challenges? Or to be part of a team featured in R&D Magazine?

Salary

US$150000 - US$175000 per annum

Location

New York

Description

Leading healthcare company partnered globally to save lives

Salary

US$130000 - US$150000 per annum

Location

Philadelphia, Pennsylvania

Description

EAST COAST NETWORK--Rare opportunity with one of the leaders of unmanned vehicles accessing never before seen GPS denied environments!

Salary

US$130000 - US$140000 per annum

Location

McLean, Virginia

Description

This award winning not-for-profit has over 50 years of experience within the autonomous defense space.

Salary

US$150000 - US$170000 per annum

Location

New York

Description

This growing company is paving the way in medical imaging

Salary

US$135000 - US$155000 per annum

Location

Philadelphia, Pennsylvania

Description

One of the leaders of developing autonomous drones

Salary

US$110000 - US$120000 per annum

Location

Kitchener, Ontario

Description

Fast growing startup looking to commercialize decades of ground-breaking autonomous robotics research

Salary

US$140000 - US$160000 per annum

Location

Minneapolis, Minnesota

Description

A global leading technology company

Salary

US$120000 - US$130000 per annum

Location

Pittsburgh, Pennsylvania

Description

This autonomous robotics company was voted top 50 places to work in Pittsburgh!

Salary

US$130000 - US$150000 per annum

Location

Philadelphia, Pennsylvania

Description

Work alongside one of the most disruptive autonomous companies for GPS denied environments, working with a variety of industry-defining projects.

Salary

US$180000 - US$230000 per annum

Location

San Diego, California

Description

A lead role within a global leader in the medical inspection and robotics space.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Computer Vision in Our Day-to-Day Lives

We make micro adjustments every day to what we wear, how we shop, and how we drive. Our healthcare and industrial verticals are working with AI and Computer Vision to enhance our experiences from the user to the professional. There are a variety of computer vision applications to make life easier, more efficient, and safer. In other words, our computers have eyes. Every industry, it seems, is now touched by Computer Vision. From retail to healthcare to agriculture to banking, AI technology combines with deep learning and machine learning to help computers “see” where a car goes, an individual’s health, and what outfit might look best for any given outing. So, let’s take a look at some of the industries currently using Computer Vision. AUTOMOTIVE Human error and distractions often lead to car accidents and fatalities. According to the WHO, it’s estimated traffic accidents will be the seventh leading cause of death by 2030. To help alleviate this prediction, there is work being done on a self-driving car with sensor technology. Though autonomous cars have been tried before, this next incarnation has worked to ensure it can detect not only other cars and other large obstacles, but also pedestrians and cyclists at a distance. As it navigates through the streets autonomously, it follows traffic regulations as well as detect hand signals, and more. Efforts to train the vehicles use deep learning to predict, plan, and map its way through various scenarios. HEALTHCARE The advent of Computer Vision in technology has been a boon to the industry. It can help determine conditions of illness, reduce or eliminate misdiagnoses, and can even monitor blood loss during medical situations.  Captured images on items such as surgical sponges can be processed using Computer Vision using Machine Learning. In comparison with the human eye, the computer’s estimates were more accurate.  RETAIL  Retail has been at the forefront of many changes within the tech industry. And now, as online shopping, e-commerce, and virtual events take over traditional venues and brick-and-mortar stores, even the task of trying on clothes has gone virtual. From a virtual mirror which uses Computer Vision to help identify what outfit looks best. What may be most appropriate in what situation. Something like a movie montage, but in real time for a real person.  Retail takes things a step further by stepping up security. Using Computer Vision, retail security apps can monitor what is being recorded, what has been taken from shelves, and items being fake scanned. This information and knowledge can lead to reduced theft and other losses in stores. While other industries such as banking and agriculture have also seen a rise in Computer Vision, it’s the above which we might see in our day-to-day lives sooner rather than later. ONE FINAL THOUGHT Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics or other Data professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

How Computer Vision Engineers Develop the Eyes of AI

Facial Recognition software. Autonomous vehicles. Drone delivery. Robotics in manufacturing. 3D Printing. No longer the stuff of science fiction, these advancements are at the heart of the next evolution in the digital age. Developments are not just being made in the tech hubs of Silicon Valley, Austin, or New York, but in the mid-West. Ann Arbor, Michigan home to the University of Michigan and not too far from where Henry Ford first introduced mass production with the help of automation has been advancing robotic technologies across a variety of fields.  Giving machines their own set of eyes does require someone to ensure they have the right information to do their jobs. Enter the Computer Vision Engineer. It’s estimated this field will see a rise of 19% demand through 2026. It’s also a relatively small field with only 5,400 new job openings. So, like many professions, demand is high yet a shortage remains of those Data professionals with the right skillsets. The Business of a Computer Vision Engineer While there are a variety of roles within the field of Computer Vision, the role of Computer Vision engineer focuses on two areas. Those areas are: Writing code in Python/C++ Integrate Data Visualization, image analysis, and imaging simulation controls In addition to these areas, these scientists focus on research, implementation, reaching across teams both human and machine to help solve real world problems. And as important as knowledge and application theory are, it’s the hands-on experience which raises the bar for most employers and client companies.  Using image recognition, machine learning, and segmentation can help machines learn to differentiate various images. Being able to “see” what the computer may see and correcting it to ensure it’s more like human vision takes a special skillset. This can include: Computer Vision librariesDatabase managementComponent or object-oriented softwareAnalytical, logical, and critical thinkingClear reasoning It’s these skillsets along with a background in mathematics and computer languages like C++ which pave the Computer Vision engineer career path.  The Future of Computer Vision  The days of the generalist are long behind us. Now, more than ever, technologies like machine vision require a dedicated focus. With every field from healthcare to law enforcement to manufacturing utilizing these technologies, the future of Computer Vision performs a broader range of functions.   In Ann Arbor, at the University of Michigan and in partnership with Ford Motor Company, advancements race through every field not the least of which is manufacturing. As they transition toward full automation using the Internet of Things and more autonomous processes, it’s even more important to ensure Computer Vision models understand what they’re “seeing.” Computer Vision engineers will help to advance technologies which make machines easier to train and more easily figure out images better than they do now. Used in conjunction with other technologies like neural networks and other subsets of AI, machines will be able to see and interpret in the same way humans see and interpret.  And as far as we’ve come, there remains more applications and benefits not yet explored. The possibilities are endless. Current and future advancements will pave the way for AI to be as human as we are bringing our once science fiction ideas to life.  One Final Thought… Though Computer Vision engineering can be drilled down to even more focused professions, the term itself is broad. But the specializations are basic with a demand for not only highly skilled professionals with the right educational background, but also hands-on experience. This detail is more important now than ever before, especially for Computer Vision teams seeking leadership roles who can take their applications to the next level and on a global scale.  Some of the basic specializaitons include, but are not limited to: Camera imaging geometryFeature detection and matchingImage classification and scene analysis In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re ready to take the next step in your career, we may be able to help. Take a look at our current vacancies or get in touch with one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

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