At a Glance
- Tasks: Own the infrastructure for AI deployments, ensuring seamless integration and reliability.
- Company: Global FinTech leader with a dynamic and innovative work culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Flexible office days and excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in a fast-paced environment.
- Qualifications: 3-5 years in software or data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a Global FinTech with offices around the world including London and Bristol in the UK. This AI Deployment Engineer role can be based out of their London offices or Bristol. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate.
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.
- 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
- 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
Requirements:
- 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
- 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
AI Deployment Engineer in London employer: Emponics
As a leading player in the finance transformation space, our company offers an exceptional work environment that fosters collaboration and innovation. With a strong focus on employee growth, we provide opportunities for professional development and hands-on experience with cutting-edge technologies like Microsoft Dynamics 365. Located in London, our hybrid work model promotes a healthy work-life balance while being part of a dynamic team dedicated to delivering impactful solutions.
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We think this is how you could land AI Deployment Engineer in London
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We think you need these skills to ace AI Deployment Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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