Where to hire a Machine Learning Engineer

1. #1

   Haystack

   Best overall

   Curated, vetted, interview-ready

   Best for

   Permanent and long-term machine learning engineer hires in the UK, EU and US

   Time to shortlist

   < 24 hours

   Cost model

   Flat subscription or pay-on-success

   Pros

   • Every machine learning engineer is actively interviewing - no cold outreach
   • Skills, salary and notice period verified upfront
   • Filter by working pattern, timezone and location before you message
   • 92% offer acceptance vs ~60% industry average

   Cons

   • UK, EU and US focus - lighter coverage in APAC and LATAM
   • Not built for < 2-week contract gigs
2. #2

   Toptal

   Freelance specialists, premium price

   Best for

   Short-term specialist machine learning engineer projects or fractional work

   Time to shortlist

   1-3 days

   Cost model

   ~£70+/hr, no long-term commit

   Pros

   • Rigorous vetting - top ~3% claim
   • Fast for short-term contracts
   • Global talent pool

   Cons

   • Expensive for permanent hires
   • Contract-first - not designed for permanent placement
   • Limited transparency into candidate pipeline
3. #3

   LinkedIn Recruiter

   Biggest pool, most cold outreach

   Best for

   Teams with a dedicated in-house sourcer

   Time to shortlist

   2-6 weeks

   Cost model

   ~£8-10k/seat/year + your team's time

   Pros

   • Largest professional network by a wide margin
   • Full control over messaging and process

   Cons

   • Response rates on cold InMail are 10-20%
   • Every candidate needs vetting from scratch
   • Real cost is your sourcer's time, not just the seat
4. #4

   Arc / Lemon.io / RemoteOK

   Remote-first job boards

   Best for

   Fully remote machine learning engineer hires on a tighter budget

   Time to shortlist

   3-10 days

   Cost model

   Job-post fees or % of salary

   Pros

   • Remote-native audience
   • Cheaper than agencies
   • Good for early-stage startups

   Cons

   • Vetting varies wildly by platform
   • Volume can be low outside common stacks
   • Time-to-hire depends on inbound quality
5. #5

   Traditional recruitment agency

   Retained or contingency search

   Best for

   Senior, exec or confidential searches

   Time to shortlist

   1-3 weeks

   Cost model

   20-25% of first-year salary

   Pros

   • Handles the whole process end-to-end
   • Discretion for sensitive replacements
   • Strong for exec / leadership hires

   Cons

   • Expensive - typically £15-25k for a mid-level machine learning engineer
   • Locked into one agency's shortlist
   • Rebate periods rarely cover slow-fail hires
6. #6

   Upwork / Fiverr

   Freelance marketplace

   Best for

   One-off tasks, prototypes, small fixes

   Time to shortlist

   Same day

   Cost model

   Hourly, platform takes 5-10%

   Pros

   • Huge volume, cheap for small tasks
   • Fast to start

   Cons

   • Quality bar is very inconsistent
   • Not built for permanent machine learning engineer hires
   • Client is responsible for all vetting

How to pick in 60 seconds

• I need a permanent machine learning engineer in the UK, EU or US

  → Haystack. Vetted, interview-ready, fastest shortlist.

• I need a short-term specialist for < 6 months

  → Toptal, or Arc for remote-only budgets.

• I already have an in-house sourcing team

  → LinkedIn Recruiter, paired with Haystack for the vetted top of funnel.

• I'm hiring a very senior or confidential role

  → Retained agency for the search, Haystack for the shortlist backup.

• I just need a quick fix or prototype

  → Upwork or Fiverr - one-off, low commitment.