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Computer Vision jobs

What We Do

We help the best talent in the Computer Vision market find rewarding careers.

“Computer Vision” jobs help companies make sense of their visual data.  Acquiring, analysing and understanding visual data has become a rich source of information for both established and emerging industries in the data and analytics space. 

Our minds filter images every day and with the advancements in IoT, it was only a matter of time before every industry from healthcare to fraud prevention, sports and media, and even data for driverless cars entered the Computer Vision space. 

For the latest in the Computer Vision space please see the jobs below!

Meet the team

Latest Jobs

Senior Software Engineer-Computer Vision
Salary

US$140000 - US$170000 per annum

Location

Philadelphia, Pennsylvania

Description

A Philadelphia-based company is looking to expand its computer vision team by adding a Senior Software Engineer to its fast-growing team.

Lead SLAM Engineer
Salary

US$120000 - US$150000 per annum

Location

Pittsburgh, Pennsylvania

Description

A fast-growing robotics company is looking for experienced robotics engineers to lead a small team of robotics engineers.

Robotics Software Engineer
Salary

US$90000 - US$110000 per annum

Location

Ann Arbor, Michigan

Description

An autonomous robotics company is helping make clean energy more affordable. This Ann Arbor-based startup is looking to add a Robotics Engineer to its team

Lead Software Engineer
Salary

US$170000 - US$200000 per annum

Location

Boston, Massachusetts

Description

An autonomous vehicle company is looking to add a Lead Software Engineer. You will lead and manage a small team to develop software and radar systems

Robotics Software Engineer
Salary

US$90000 - US$110000 per annum

Location

Ann Arbor, Michigan

Description

An autonomous robotics company is helping make clean energy more affordable. This Ann Arbor-based startup is looking to add a Robotics Engineer to its team

Senior Product Manager
Salary

£60000 - £65000 per annum + Yes

Location

London

Description

Based in London, United Kingdom

Senior SLAM Engineer
Salary

US$120000 - US$150000 per annum

Location

Boston, Massachusetts

Description

A Boston based start up is developing autonomous mobile robots for human interactions in industrial settings

Navigation Engineer
Salary

US$100000 - US$120000 per annum

Location

Ann Arbor, Michigan

Description

An autonomous drone company is expanding its navigation and SLAM team. If you have experience developing software for autonomous robotics then keep reading!

Lead Medical Imaging Specialist
Salary

US$150000 - US$180000 per annum

Location

Philadelphia, Pennsylvania

Description

A Philadelphia-based company is looking to add a Lead Medical Imaging Specialist to their fast-growing team in Philadelphia.

Robotics Engineering Manager
Salary

US$120000 - US$140000 per annum

Location

Pittsburgh, Pennsylvania

Description

This company develops autonomous robots and is looking for a Robotics Engineering Manager with leadership experience to lead a team of robotic engineers.

Manager, Robotics Engineering
Salary

US$150000 - US$180000 per annum

Location

Pittsburgh, Pennsylvania

Description

This company develops autonomous robots and is looking for a Robotics Engineering Manager with leadership experience to lead a team of robotic engineers.

Perception Engineer
Salary

US$90000 - US$110000 per annum

Location

Ann Arbor, Michigan

Description

An autonomous robotics company is helping make clean energy more affordable. This Ann Arbor-based startup is looking to add a Robotics Engineer to its team

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.

What’s Keeping Women Out Of Data Science?

Data Science, the extraction of data to provide meaningful knowledge and insight, is experiencing a surge in growth within Data & Analytics. It is a fast-growing specialism, and talent in this area is in demand, with there being a 650 per cent increase in data science jobs since 2012. Simply put, pretty soon Data Science is going to play a fundamental role in every industry across the globe. Organisations have to adapt and make use of a range of Data Science tools and techniques or they will simply be forced out of business. LinkedIn recognised in their Emerging Jobs report that the role of a Data Scientist sits in the top three in the US, citing significant advancements in the emphasis on using data for this growth. Comparatively in the UK, this role lands within the top 10 at number seven.  Yet, our research tells us that in the UK, 25 per cent of female professionals work within Data Science, with this number dipping to just 20 per cent in the US. So, how can we support more women to enter the specialism? Encourage access to opportunities  Organisations need to continue to hire highly skilled technical talent to keep up with the growth that we are witnessing in the Data Science specialism. Yet, time and time again, working in Data Science can be seen to be an unattractive career proposition – in particular to women. To counteract this, business leaders need to make the role and rewards of becoming a Data Scientist visible within their organisation. Showcasing the range of projects and campaigns that are available, as well as providing opportunities for women to accelerate their careers and follow a pathway that suits them is critical. Education of STEM roles from a young age In order to see more women moving into roles within Data Science, industry leaders from within STEM fields need to take control and lead the way in educating women on the array of opportunities available. Through supporting, organising or hosting workshops, webinars and conferences, organisations can introduce women at entry-level to what careers in Data Science actually look like. This week for example in the UK, we’re currently in the middle of British Science Week. It is initiatives like these that build upon the education that is needed to promote roles in technical fields. Building up communities In the past year, we’ve all come to rely on our connections to provide insight and support during this period of uncertainty and change. This should be a continued focus moving forwards, building communities, networking and sharing knowledge in order to create an informed, educated and engaged workforce that attracts (and retains) female professionals. Within female-focused networks and groups, organisations can support women in advancing their careers, advocating for themselves and acting as a platform to showcase the opportunities that are available to women looking to move into a role in Data & Analytics. The consequence of ignoring these actions is a lack of diversity. We know that diverse teams perform better, and so welcoming in and making the Data Science specialism an attractive career consideration for women is critical. As the industry continues to advance and demand for skilled professionals grows, there will be plenty of opportunity for top talent to make their mark. If you're looking to take the next step in your career or build out a diverse Data & Analytics team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Francesca Curtis

Francesca Curtis

11. March 2021

Data Science For Business Decision Making

All strong and successful businesses are built and run upon well-informed decision-making, which derive from a mix of leader experience, industry knowledge and, more recently, the regular implementation and use of advanced Data Science teams.  While the use of data has been around for many years, it’s hard to believe that it is only in the last five years or so that we have seen the adoption of such technology and skills really take off. Five years ago, the importance and demand for Data Scientists sat at a very meagre 17 per cent, whereas in 2019, we saw exponential growth of over 40 per cent – a number that is expected to continue growing as we move forward.  Within Data & Analytics, Data Science is a crucial arm within many businesses of all shapes and sizes. Through the collection and analysis of certain datasets, Data Science teams can delve into an organisation’s pain points, any potential obstacles and future predictions; crucial elements which, if looked at and planned for in advance, can be the making of a business.  So, how else can Data Science influence the decision-making process and make a positive impact on a business and its bottom line? The removal of bias and the increase of accuracy As humans we are innately susceptible to bias, conscious and unconscious, and this can be a hindrance on our ability to make informed yet impartial decisions. By relying solely on facts and figures instead of our own opinions, we are not only removing bias, but we are in turn making the decision-making process more accurate.  Accuracy within decision-making will remove the potential risk of mistakes and the need to re-do tasks, therefore saving precious time, resource and money, unequivocally a benefit for any business’s bottom line.  Efficiency There are elements of all businesses that require trial and error for example, hiring practices. People who look great on paper and perform exceptionally well in first interview may turn out to be utterly the wrong fit six months down the line. However,  collecting and recording data of those employees who do fit well into the business, compared to those who don’t, can help to reduce the chance of choosing the wrong candidate. This in turn improves staff retention rates, helps create a positive work culture and, of course, positively impacts profitability.  Considering the cost for hiring one person for a company is around £3,000, Data Science is of huge benefit to any company, large or small, in reducing the risk of high staff turnover.  Mitigating risk All businesses at some point in their lifetime will come up against potential obstacles and risks that, if not managed properly, can be potentially lethal. The implementation of Data Science will allow senior leaders to learn from past mistakes and create evidence-based plans to better tackle, or completely avoid, similar problems in the future.  This could be for either organisational risk or strategic risk, both of which can be extremely damaging if not prepared for. Organisational risk entails problems occurring within daily business tasks such as fraud, data loss, equipment and IT issues and staff resignations. Strategic risk relates to events that cannot be planned for in advance; those sudden and unforeseeable changes - a great example being the current COVID-19 pandemic.  However, with both risk groups, Data Scientists can help to mitigate these risks through learnings and observations made from reams of previous data, as well as real-time intelligence. This allows senior leaders to act fast where needed, and plan where possible.  Data & Analytics, and especially Data Science, has been, and will continue to be, a key driver in the evolution of many industries worldwide. As we move forward, we will undoubtedly see an even larger uptake of the available technologies as business leaders everywhere begin to see the influential value of data-driven decision-making. If you’re a Data Scientist looking to take a step up or are looking for the next member of your team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

Rosie O'Callaghan

Rosie O'Callaghan

18. February 2021

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