Frontline AI Engineer - On-Site Deployments (EU/UK)

Dex; Greater London; On-site; GBP 80,000 - 130,000; Full time

Benefits offered by this job

Security clearance eligibility

On-site deployments

Travel opportunities

Job summary

Dex is seeking a Deployed AI Engineer to embed state-of-the-art software into deployed operational environments. You will interface with aircraft mission-control systems and mission hardware, building adapters to bring modern AI to legacy edge platforms.

The role involves on-site deployments across the UK and EU, collaborating with customer teams and core product/ML groups to turn complex edge constraints into production-ready solutions.

Qualifications

• Degree in Computer Science, Software Engineering, Electrical Engineering, or equivalent systems-level grounding.
• Strong software engineering foundation in C++, Java, Rust, or similar systems languages, with scripting in Python or Bash.
• Deep practical command of Linux internals, networking stacks, and database systems, with ability to debug legacy environments.

Responsibilities

• Integrate AI capabilities into complex real-world platforms with customer avionics engineers.
• Decode network protocols, legacy APIs and databases to build adapters that connect edge hardware to cloud.
• Collaborate with product and ML teams to formalize requirements, edge cases and production updates.
• Coordinate live demos and trials across simulated and physical deployments to prove reliability.
• Own the integration lifecycle on-site across UK and EU deployments, monthly travel.

Skills

C++

Java

Rust

Python

Education

Computer Science degree

Tools

Linux

Networking

Databases

Job description

Dex is seeking a Deployed AI Engineer to embed state-of-the-art software into deployed operational environments. You will interface with aircraft mission-control systems and mission hardware, building adapters to bring modern AI to legacy edge platforms.

The role involves on-site deployments across the UK and EU, collaborating with customer teams and core product/ML groups to turn complex edge constraints into production-ready solutions.