AI Deployment Engineer

About the role

We are looking for an experienced AI Deployment Engineer to join our fast‑growing AI and data function. In this highly technical, hands‑on position you will take AI prototypes through to production‑grade, scalable systems that power the business.

Key responsibilities

• Own and develop the data and integration infrastructure that supports AI deployments, including pipelines, storage and delivery layers.
• Design and implement robust integrations between AI solutions and core business systems such as CRM, ERP, SaaS platforms and internal tools.
• Build and maintain APIs, webhooks and middleware for seamless system‑to‑system communication.
• Harden, scale and optimise AI prototypes for reliability and performance in production.
• Implement monitoring, logging and alerting across all deployed pipelines and AI services.
• Manage data structures, schemas and transformation logic for current and future AI initiatives.
• Troubleshoot and resolve production issues, including integration failures and data inconsistencies.

Required profile

• 3–5+ years of experience in software engineering, data engineering or related infrastructure roles.
• Strong programming ability in Python and SQL, with a track record of building production‑grade data pipelines.
• Solid understanding of integration patterns (REST APIs, webhooks, OAuth, event‑driven architectures).
• Experience with orchestration tools such as Airflow, Prefect or Dagster.
• Familiarity with cloud platforms (AWS, GCP or Azure) and containerisation (Docker, Kubernetes).
• Proven ability to integrate multiple business systems and ensure reliable data flow.
• Strong troubleshooting focus on system reliability and data integrity.

Required skills

• Python
• SQL
• Airflow
• Prefect
• Dagster
• AWS
• GCP
• Azure
• Docker
• Kubernetes
• REST APIs
• Webhooks
• OAuth
• Event‑driven architectures
• Microsoft 365
• Vector databases
• Kafka
• Flink
• UiPath
• Power Automate
• dbt

What we offer

• Competitive salary £100,000 – £125,000 per year.
• Excellent benefits package.
• Predominantly remote work with occasional collaboration days in London.
• Opportunity to shape the AI deployment capability of a leading technology‑focused organisation.