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E

AI Deployment Engineer

Emponics Cornhill (10 km)
100,000 to 130,000
32 - 40 hour

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E
AI Deployment Engineer
Emponics Cornhill (10 km)
100,000 to 130,000
32 - 40 hour
Status Open
Apply now

Apply on the employer's website


What we ask

Education

No minimum education required

What we offer

Salary
£100,000 to £130,000
Hours
32 to 40 hours per week
Employment type
permanent

Job description

Our client is a Global FinTech with offices around the world inc Bristol and London in the UK .
This AI Deployment Engineer role can be based out of Bristol or London offices.
Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate.
* AI Deployment Engineer
* Location: Bristol or London - Hybrid, 3 days in the office
* Salary: range to - £130,000 p/a dependent on experience + excellent benefits
You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath — data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale.
You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on.
Job Responsibilities
• Own the data infrastructure underpinning AI deployments — pipelines, storage, and data serving
• Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems
• Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems
• Take Strategist-built prototypes to production-grade — hardening, scaling, and ensuring reliability
• Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure
• Manage data models, schemas, and storage supporting current and future AI deployments
• Troubleshoot integration failures, data inconsistencies, and production issues
Key Skills
• Python & SQL (production-grade pipeline development)
• REST APIs, webhooks, OAuth, event-driven architecture
• Orchestration tools: Airflow, Prefect, or Dagster
• Cloud platforms: AWS, GCP, or Azure
• Docker & Kubernetes Microsoft 365 & Microsoft Copilot
Desirable Skills
• Vector databases and embedding pipelines
• Real-time streaming (Kafka, Flink)
• RPA tooling (UiPath, Power Automate) dbt for data transformation
• Claude Code, Claude Cowork, or Claude Skills
• Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate).
Experience
• 3–5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure.
• Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch.
• Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures.
• Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar).
• Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes).
• Experience connecting disparate business systems — SaaS platforms, internal databases, and third-party APIs — and making them work reliably.
• Strong debugging instincts and a high bar for reliability and data integrity.
• Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus.
Qualifications
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Python & SQL (production-grade pipeline development)
• REST APIs, webhooks, OAuth, event-driven architecture
• Orchestration tools: Airflow, Prefect, or Dagster
• Cloud platforms: AWS, GCP, or Azure
• Docker & Kubernetes Microsoft 365 & Microsoft Copilot
• Vector databases and embedding pipelines
• Real-time streaming (Kafka, Flink)
• RPA tooling (UiPath, Power Automate) dbt for data transformation
• Claude Code, Claude Cowork, or Claude Skills
• Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate).
Python & SQL (production-grade pipeline development)
• REST APIs, webhooks, OAuth, event-driven architecture
• Orchestration tools: Airflow, Prefect, or Dagster
• Cloud platforms: AWS, GCP, or Azure
• Docker & Kubernetes Microsoft 365 & Microsoft Copilot
• Vector databases and embedding pipelines
• Real-time streaming (Kafka, Flink)
• RPA tooling (UiPath, Power Automate) dbt for data transformation
• Claude Code, Claude Cowork, or Claude Skills
• Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence
ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence
Salary description

£100000.00 - £130000.00 per year

Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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