Senior Machine Learning Engineer
Vancity · Vancouver, British Columbia · $113,100 - $153,000 annually
Posted 2026-07-26 · Reviewed on 2026-07-29 · What do these ratings mean?
applies via recruiting.ultipro.com
Verdict
Vancity (Vancouver City Savings Credit Union) is Canada's largest community credit union, headquartered in Vancouver, and a financial institution hiring a senior machine learning engineer is a normal fit. The application URL is a UKG/UltiPro tenant (VAN5000VCSCU) whose code plainly maps to Vancity Savings Credit Union, a recognized enterprise ATS. Salary is market-appropriate and there are no mail-in, free-email or payment signals.
- Role plausible for a financial institution-5
Data scientist / ML engineer roles are standard at a large credit union; industry mismatch is not a fraud signal.
- Enterprise ATS with matching tenant code-15
recruiting.ultipro.com/VAN5000VCSCU (UKG/UltiPro) — tenant code corresponds to Vancouver City Savings Credit Union.
- Large, well-known regulated employer-20
Vancity is Canada's largest community credit union, headquartered in Vancouver, BC.
Application flags (0)
No application flags detected.
Employer checks
| Website found | https://www.vancity.com |
|---|---|
| Website reachable | yes |
| Business identity | matches the posting |
| Location | matches the posting |
| Job listings on its site | yes |
| Mail-application address | none - the posting has no mailing address |
| How it was verified | web search |
| Confidence | 0.93 |
| Summary | Vancity (Vancouver City Savings Credit Union) is a large, well-established BC credit union with branches including Victoria. The posting applies through Vancity's own UltiPro/UKG recruiting tenant. Role, branch and contract terms are all normal for the employer. |
| Checked on | 2026-07-29 |
Full description
Occupation (NOC): Data scientists (21211) Location: Vancouver, British Columbia Salary: $113,100 - $153,000 annually Hours: Full-time How to apply: Online: https://recruiting.ultipro.com/VAN5000VCSCU/JobBoard/a46cbdaa-ca2c-49b6-8d2b-e0ceaafa0e25/OpportunityDetail?opportunityId=69c2b79d-4c89-4bf4-9ced-a332ab7cdc20