Platform/Product Engineer (up to £150k)

Dex; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Dex is partnering with a company building a logistics middleware for armed forces. You will own backend infrastructure, focusing on data processing, network optimisation, and classic ML pipelines to distil intelligence into tactical decisions.

The role involves working with constrained on‑prem hardware and navigating ambiguous requirements as defence contracts land. NATO citizenship is a hard requirement for this position.

Qualifications

• 2–5 years building production software with a focus on platform/infrastructure engineering.
• Experience with classical/traditional ML or willingness to work on constrained hardware.
• T-shaped: comfortable navigating business context, technical detail, and ambiguity.

Responsibilities

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

Skills

Platform engineering

Classical ML/Signal pipelines

Cross-functional / T-shaped

Security clearance readiness

Job description

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. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

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.