AI Deployment Engineer — Client-Facing & Production-Ready

CloudFactory Limited; Reading; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

CloudFactory Limited hires a hands-on software engineer to design and implement scalable AI deployment workflows, integrating client systems with our platform. You will contribute to data pipelines, build APIs, and optimize end-to-end AI production readiness.

Requirements include 2+ years in software engineering, strong Python/Go skills, cloud experience (AWS/GCP/Azure), and familiarity with AI/ML lifecycles. Role involves client-facing work and travel to client sites.

Qualifications

• 2+ years software engineering experience.
• Experience building APIs and distributed systems.
• Proficiency with cloud infrastructure (AWS/GCP/Azure).
• Familiarity with AI/ML lifecycle from training to inference to feedback.

Responsibilities

• Design and implement integrations between client systems and CloudFactory’s platform.
• Architect scalable agentic AI and human-in-the-loop workflows.
• Define data ingestion, transformation, and feedback loops.
• Translate PoC AI systems into scalable production workflows.
• Lead technical discovery sessions and support pre-sales validation.

Skills

Python

Go

Cloud platforms

APIs

Distributed systems

Data pipelines

AI/ML lifecycle

Claude

Job description

CloudFactory Limited hires a hands-on software engineer to design and implement scalable AI deployment workflows, integrating client systems with our platform. You will contribute to data pipelines, build APIs, and optimize end-to-end AI production readiness.

Requirements include 2+ years in software engineering, strong Python/Go skills, cloud experience (AWS/GCP/Azure), and familiarity with AI/ML lifecycles. Role involves client-facing work and travel to client sites.