Senior Backend & Edge AI Engineer — Remote/Hybrid

Data Science Jobs UK

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible
Hybrid Working

Job summary

Faculty is seeking a Senior Software Engineer for its Defence team to lead backend and edge/IoT engineering, bridging ML research with production-grade software. The role requires delivering robust, scalable solutions and mentoring peers in a fast-paced environment.

Eligible for UK security clearance and willing to travel to client locations; remote or London-based work available with 2–4 days on-site per week.

Qualifications

  • Hands-on application development with modern system architecture.
  • Proven track record shipping customer-facing Python and compiled language code.
  • Strong DevOps experience including CI/CD, Docker and production deployments.

Responsibilities

  • Designing and building robust backend and edge/IoT components for diverse client deliverables.
  • Scoping and executing bounded technical problems to ensure high-velocity delivery.
  • Shipping production-ready code in Python and a compiled language (Rust, C++, Go, C#, or Java).
  • Implementing scalable CI/CD, containerisation with Docker, and deployments on Kubernetes or bare metal.
  • Mentoring engineers and collaborating with ML/Data Science teams to operationalise AI tooling.

Skills

Backend development
Edge/IoT
Python
Compiled languages
DevOps
Docker
Kubernetes
CI/CD
Mentoring
Machine Learning integration

Tools

GitLab CI/CD
Docker
Kubernetes

Job description

Faculty is seeking a Senior Software Engineer for its Defence team to lead backend and edge/IoT engineering, bridging ML research with production-grade software. The role requires delivering robust, scalable solutions and mentoring peers in a fast-paced environment.

Eligible for UK security clearance and willing to travel to client locations; remote or London-based work available with 2–4 days on-site per week.

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