Platform/Product Engineer (up to £150k)

Dex; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Dex's trusted partner company is building a logistics middleware for armed forces. You will own the backend infrastructure, data processing pipelines, and on-prem deployments to run robust, battle-proven ML models for tactical routing.

You will integrate with NATO command-and-control interfaces, design signal pipelines from drone feeds, and optimize network performance under adversarial constraints, with 16-20 CPUs and 64GB RAM per server.

Qualifikationen

• 2-5 years building production software and platforms.
• Experience with classical ML or interest in traditional ML on constrained hardware.
• T-shaped: capable of handling business context, technical detail, and ambiguity.

Aufgaben

• Own backend infrastructure for a logistics middle-layer.
• Design data processing and signal pipelines for intelligence feeds (drone and C2).
• Optimize network performance and routing under adverse conditions.
• Develop and deploy classical ML models for tactical supply routing decisions.
• Work with constrained on-prem hardware (16-20 CPUs, 64GB RAM per server).

Kenntnisse

Production software

Platform engineering

ML pipelines

Data processing

On-prem optimization

Jobbeschreibung

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

This company builds a critical logistics middle-layer for armed forces. Their software tracks inventory, flags supply gaps, and optimises tactical routes, collapsing an 84-hour ammunition-order cycle into the 16-hour window where battles are decided. They're backed by leading investors and solving problems where the competition is literally pen-and-paper.

You'll own the backend infrastructure that makes this possible: data processing, network optimisations under battlefield constraints, and classical ML pipelines. This isn't chasing state-of-the-art deep learning; it's about robust, battle-proven traditional ML running on constrained, on-prem hardware. Expect high ownership and ambiguous requirements as the first defence contracts land.

The work

• Own backend infrastructure for a logistics middle-layer, integrating with NATO command-and-control systems.
• Design and implement data processing and signal pipelines for intelligence feeds (drone observations, C2 inputs).
• Optimise network performance and routing decisions under severe environmental and adversarial constraints.
• Develop and deploy classical ML models that distil intelligence into tactical supply-routing decisions.
• Work with constrained on-prem hardware (16-20 CPUs, 64GB RAM per server), focusing on efficiency and reliability.

What You Bring

• 2-5 years building production software, with a solid stint in platform or infrastructure engineering.
• Experience with classical/traditional ML (signal pipelines, linear models) or a genuine desire to lean into this style on constrained hardware, rather than deep-learning hype.
• T-shaped: comfortable navigating business context, technical detail, and ambiguity with multiple concurrent priorities.
• Background in defence, finance/hedge funds (building signal pipelines), or work requiring security clearance.
• NATO citizenship is a hard requirement for this role.