Problems solved. Engineers placed. Results delivered.

The challenge

A US-based fintech scale-up needed a senior ML engineer to lead model deployment for a real-time fraud detection system. Three specialist agencies had tried and failed over six weeks. The role required rare overlap between MLOps, financial data pipelines, and regulatory compliance awareness.

Our approach

We didn't post the role. We worked our existing network of ML engineers with financial services backgrounds and identified two candidates within 72 hours — both passive, neither on the market.

The challenge

A UK insurtech needed a senior platform engineer to stabilise a Kubernetes migration that had stalled. The team had lost confidence in the infrastructure and the CTO needed someone who could take ownership immediately — not ramp up over months.

Our approach

We focused on engineers who had specifically rescued troubled migrations, not just run greenfield builds. The brief was tight: Kubernetes, Terraform, AWS, and the ability to work autonomously under pressure.

The challenge

A Series B SaaS company in Germany needed an interim Engineering Director to bridge a leadership gap while their permanent search ran. The role required someone who could manage a distributed team across three time zones and maintain delivery momentum.

Our approach

We identified three candidates with interim leadership experience in distributed engineering environments. All three were pre-vetted and available within two weeks.

The challenge

A digital agency in Edinburgh needed two senior full-stack engineers at short notice after a client project scope expanded significantly. Budget was fixed and the timeline was immovable — they needed people who could contribute from day one.

Our approach

We presented four candidates within 48 hours. All had worked in agency environments before and understood the pace and context-switching that comes with client delivery.

The challenge

A healthcare technology company needed a cloud architect with specific experience in NHS data governance and HL7 FHIR standards — a combination that ruled out the vast majority of the market.

Our approach

We spent two days mapping our network before responding to the client. When we came back, we came back with one candidate — the right one — rather than a long list of near-misses.