Computer Vision Recruitment

From Defense and Security firms, to Health and Education, we help recruit the best Computer Vision talent,



THE GLOBAL LEADER IN RECRUitment for COMPUTER VISION TALENT

Across the world, we help leading businesses recruit the best Computer Vision talent.

Harnham has actively chosen to focus on Computer Vision recruitment, we’ve immersed ourselves in this market and are now an integral part of this business community. Our capability has grown to provide recruitment services and advice across the Data Science, Marketing & Insight, Risk Analytics, Data & Technology and Digital Analytics areas of speciality.

COMPUTER VISIONRECRUITMENT

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. 

As global leaders, we operate in four offices globally, recruiting for roles across the UK, US, Benelux, France, Germany, the Nordics and Spain. 



PERMANENT, CONTRACT                      & REMOTE COMPUTER VISiON RECRUITMENT

Our tailored approach means we are able to deliver best in class Computer Vision experts every time. 

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. We have one of the largest talent networks of Data & Analytics are uniquely placed to offer bespoke solutions whatever your hiring needs are.


Latest Jobs

Salary

£60000 - £75000 per annum + Benefits

Location

City of London, London

Description

Machine Learning Engineer, London, United Kingdom.

Salary

£55000 - £65000 per annum + bonus, car, pension

Location

Birmingham, West Midlands

Description

The opportunity to research and apply innovative data science techniques to a national commercial business.

Salary

800000kr - 900000kr per annum

Location

Stockholm

Description

You will be managing a team of 2 data scientists and 2 user researchers, and partner with other product area managers on the Product area's goals.

Salary

£65000 - £75000 per annum + benefits

Location

London

Description

Are you a technically strong ML Engineer looking for their next exciting challenge in the online trading space?

Salary

US$120000 - US$140000 per annum

Location

New York

Description

An autonomous robotics company is developing robots to interact with humans and navigate complex environments.

Salary

US$120000 - US$150000 per annum

Location

District of Columbia

Description

This company is working on solving the biggest issues within autonomy and robotics for the US government.

Salary

£700 - £800 per day

Location

London

Description

Machine Learning Operations/ MLOPs (Contract) Long term project £700-£800.day (Inside IR35) Remote / UK based

Salary

US$120000 - US$150000 per annum

Location

Boston, Massachusetts

Description

An autonomous robotics company is developing ground robotics for GPS-denied environments. If you have experience with robotics and navigation then keep reading

Salary

£50000 - £60000 per annum + benefits

Location

London

Description

This is a leading tech company with an established data science team who are working on cutting edge data science and machine learning projects.

Salary

€720 - €800 per day

Location

Amsterdam, North Holland

Description

This 6 month contract position is within a Dutch E-Commerce firm that prioritises data at the core of their business strategy.

Salary

€100 - €110 per annum

Location

Eindhoven, North Brabant

Description

Our client is a Manufacturing and Processing firm that are looking to bring on a Senior Data Scientist that is highly skilled in Computer Vision.

Salary

£70000 - £90000 per annum

Location

London

Description

This organisation is an innovative, data-driven app start-up. They work in the gaming space and have several products that are very successful in the market.

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.

Using Data Visualisation To Bring Data & Analytics To Life

The majority of the human population are visual learners. Our brains are wired in such a way where we can register 36,000 visual messages per hour, and visuals are processed 60,000 times faster than text. In short, one of the best ways to truly assimilate and understand new-found knowledge is through clear and digestible imagery.  Because of this valuable insight, we are now witnessing the fast-growing trend of Data Visualisation. Over the next six years, the value of Data Visualisation tools is expected to reach $19.2 billion, over double what it was in 2019.  Data & Analytics is one key area where data visualisation is used continuously. The raw data collected on a daily basis by Data Analysts can be incredibly time-consuming to sift through, not forgetting near-impossible to form palatable findings from. However, through the use of data visualisation tools such as graphs, heat maps, charts and infographics, confusing, text-based data can be transformed and brought to life. So, how can Data Visualisation help your business? Greater understanding of your data As Lydia, our Senior Recruitment Consultant, stated in her most recent article – data insights have the capability of not only improving decision-making, but also allow you to spot key trends, errors and predict future challenges. Nevertheless, all of these brilliant capabilities of data insights can only occur when teams can garner an in-depth understanding of the data being presented to them.  Without a background in statistics, which very few members of any team would possess, the raw data simply wouldn’t mean anything, and key insights could be missed. Utilising data visualisations not only makes data more tangible, but it also allows every team member to understand the data, make decisions and implement changes more efficiently. Standing out from the competition The effectiveness of Data Visualisation is no secret, and time and time again it’s been proved that this way of presenting data is far more likely to produce results than simply reviewing text.  Research within Analytics Insight reported that businesses using data discovery tools are 28 per cent more likely to find timely information compared to their dashboard-using counterparts, and 48 per cent of business intelligence users at companies with visualisation tools are able to find the information they need without the help of a specialist team.  Nevertheless, despite the incredible benefits, only 26 per cent of businesses globally are using data visualisation tools.  While the reasons for this slow uptake are varied, it’s clear that those companies who are willing to invest in Data Visualisation are far more likely to stand a head above their competitors. It can improve customer experience 98 per cent of companies will use data to help drive a better customer experience, but it doesn’t always mean that this data is collected, managed or presented well.  Data is, and should be, used as a way to back up what brands are saying, especially if they’re shouting from the rooftops about how fantastic they are.  When a business or brand uses accurate Data Visualisation to tell this story – for example, the percentage of consumers who report high levels of customer satisfaction, or the amount of money donated to CSR projects – audiences will respond much better than if the claim appears to be empty words without any evidence.  Data Visualisation is undoubtedly one of the most effective ways to communicate data, both internally and externally. The comprehensible formats available enables information to be processed with ease, and for learnings and understandings to be absorbed and implemented with much more efficiency than text-based raw data. It’s clear that this trend is only going to grow in popularity as businesses begin to put more investment behind it in order to reap the benefits and watch the positive impact on their bottom lines prosper.  For examples of how Harnham uses Data Visualisation, head over to our recent research reports.  If you're looking to take the next step in your career or build out your Data & Analytics team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

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. 

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