Hybrid AI Deployment Engineer — Scale AI in FinTech

Emponics; Almondsbury; Hybrid; GBP 80,000 - 130,000; Full time

Job summary

Emponics is seeking an AI Deployment Engineer for a global fintech client. The role is based in Bristol or London with hybrid work and roughly three days in the office. You will own data pipelines, system integrations and the production backbone for AI deployments, turning prototypes into scalable production solutions.

Ideal candidates have strong Python/SQL, REST APIs, cloud platforms, and experience building robust, production-grade data infrastructures across diverse business systems.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• Strong Python and SQL for production-grade data pipelines.
• Experience with REST APIs, webhooks, OAuth and event-driven architectures.
• Familiarity with cloud platforms and containerization (AWS/GCP/Azure, Docker, Kubernetes).

Responsibilities

• Own the data infrastructure underpinning AI deployments—pipelines, storage, data serving.
• Integrate AI solutions into CRMs, ERPs, SaaS and internal systems.
• Build and maintain APIs, webhooks and middleware for AI agents.
• Take prototypes to production with reliability and scalability.
• Set up monitoring, logging and alerting across pipelines and infrastructure.
• Troubleshoot data/integration issues to ensure data integrity.

Skills

Python

SQL

REST APIs

Webhooks

OAuth

Event-driven

Airflow

Prefect

Dagster

AWS

GCP

Azure

Docker

Kubernetes

Microsoft 365

Copilot

Vector databases

Kafka

Flink

UiPath

Power Automate

Claude Code

Claude Cowork

Claude Skills

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Tools

Airflow

Prefect

Dagster

AWS

GCP

Azure

Docker

Kubernetes

Microsoft 365

Copilot

Claude Code

Claude Cowork

Claude Skills

Job description

Emponics is seeking an AI Deployment Engineer for a global fintech client. The role is based in Bristol or London with hybrid work and roughly three days in the office. You will own data pipelines, system integrations and the production backbone for AI deployments, turning prototypes into scalable production solutions.

Ideal candidates have strong Python/SQL, REST APIs, cloud platforms, and experience building robust, production-grade data infrastructures across diverse business systems.