Computer Vision Recruitment: Agency or In-House?
When a specialist recruiter earns their fee for a computer vision hire, when your own team will do better, and how to tell which situation you are in.
What makes computer vision hiring different
The pool is small, highly segmented by domain, and largely passive — most strong candidates are employed and not looking. General recruiters struggle here because keyword matching does not work: a CV listing "computer vision" covers everything from OpenCV pipeline work to foundation model research, and the difference is invisible without domain knowledge.
When a specialist agency is worth it
Agencies earn their fee where the constraint is access to people you cannot reach, or the assessment depth you cannot supply.
- Roles in scarce niches — SLAM, sensor fusion, embedded vision, calibration at fleet scale.
- Your first CV hire, where nobody in-house can assess candidates technically.
- Confidential searches, or hiring into a new geography where you have no network.
- Genuine urgency, where a search taking six months has a real business cost.
When to keep it in-house
Agencies add least where you already have reach and assessment capability.
- Broad applied roles — general computer vision engineers attract healthy inbound volume.
- You already have CV engineers who can assess and refer. Referrals from domain engineers are consistently the highest-yield channel in this field.
- You are hiring several similar roles, where building the pipeline yourself compounds.
- Junior and graduate hiring, where university and community channels work well directly.
How to choose a specialist agency
The differences between agencies in this space are large, and the questions that reveal them are straightforward.
- Ask which specific roles they have filled in computer vision, not adjacent AI roles.
- Ask them to explain the difference between a perception engineer and a CV engineer. If they cannot, they will not screen well.
- Ask about their network in your vertical specifically — medical imaging and autonomy networks barely overlap.
- Ask what proportion of their placements are still in post after a year.
- Clarify the fee basis, the replacement guarantee and whether the search is exclusive.
The hybrid approach most teams settle on
In practice, the pattern that works is running your own pipeline for the roles you can reach and engaging a specialist for the one or two positions that are genuinely hard. Post the role publicly regardless — an agency search and an open listing are complementary, and the listing continues working after the search closes.
Common questions
What do computer vision recruitment agencies charge?
Contingency fees are typically a percentage of first-year salary, with retained search charged in instalments and usually costing more overall but with greater commitment. Ask about replacement guarantees — for scarce roles, a meaningful guarantee period matters more than a slightly lower percentage.
How long does a specialist computer vision search take?
Longer than general engineering, and the main variable is how specific your requirements are. Broad applied roles move reasonably quickly; roles combining vision with C++, embedded constraints, security clearance or a regulated domain take substantially longer. Treat any promise of a fast fill on a niche role with scepticism.
Can we do both at once?
Yes, and most teams should. Keep your own listing live while an agency searches — they reach passive candidates, your listing reaches active ones, and the two pools barely overlap. Just be clear with the agency about which candidates came from where.
Hiring right now?
Post your role to reach computer vision engineers directly, or start from a job description template.