Datalink Recruitment
Junior Computer Vision Engineer

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I am working with a very exciting tech start up - they work at the bleeding edge of Machine Vision and VLM's. You will be working on a broad range of projects on Computer / Machine Vision.
A mixture of technical, research and implementation. It will really suit someone who loves a challenge and thinking through problems - learning by doing but with support and learning from a tier 1 team - PhD's, MSc's and external advisors from top universities.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who are they looking for?
Intellectually curious, bright and motivated people who love data science and AI.
- A strong STEM academic background - likely with a post graduate qualification
- Some experience with Computer Vision (academic or commercial)
- Technically you will probably have a good level with Python and SQL
- Excellent foundation in Mathematics


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