BIM Coordinator - Architecture - Central London

Job details

Posted Thursday 26 March 2026
Location London
Job type Permanent
Reference 808
Recruiter Name Bonnie Evans

Wise May are looking for an experienced BIM Coordinator to join a globally recognised, architecture studio based in Central London.

This is a permanent, hybrid role working within a large, multidisciplinary team delivering a complex project in the UK. The position offers the opportunity to work on high-profile, large-scale developments within a collaborative and forward-thinking environment.

BIM Coordinator duties and responsibilities:

  • Support project setup in line with ISO19650 standards and client Exchange Information Requirements (EIR).
  • Manage and coordinate federated BIM models across multiple disciplines.
  • Lead digital coordination processes, including clash detection using tools such as Navisworks or Solibri.
  • Carry out regular QA/QC checks on model geometry, data integrity, classification and parameters.
  • Prepare and manage composite models for coordination meetings.
  • Maintain BIM content libraries and ensure consistency across project deliverables.
  • Manage BIM data within the Common Data Environment (CDE), ensuring accurate and timely information exchange.
  • Monitor and ensure compliance with project information standards and workflows.
  • Support data validation processes and ensure asset information requirements are met.
  • Provide day-to-day BIM support to project teams and assist with training and upskilling where required.

BIM Coordinator key skills and experience required:

  • Minimum 5 years’ experience within a BIM, architecture, construction or engineering environment.
  • Proven experience working on large-scale, multidisciplinary projects.
  • Advanced proficiency in Autodesk Revit (essential).
  • Strong experience using Autodesk Construction Cloud (ACC) or BIM360.
  • Experience with coordination tools such as Navisworks, Solibri or similar.
  • Solid understanding of ISO19650 and structured information delivery.
  • Strong attention to detail and ability to manage complex model data.
  • Confident communicator, able to liaise with multidisciplinary teams.
  • Proficiency in MS Excel (Power Query advantageous).