At a Glance
- Tasks: Own the infrastructure for AI deployments and ensure seamless integration with business systems.
- Company: Global FinTech leader with offices in Bristol and London, offering a hybrid work model.
- Benefits: Competitive salary up to £130,000, excellent benefits, and flexible working arrangements.
- Other info: Dynamic environment with opportunities for career growth and innovation.
- Why this job: Join a cutting-edge team and make a real impact in the world of AI technology.
- Qualifications: Bachelor's degree in Computer Science or equivalent experience; strong Python and SQL skills required.
The predicted salary is between 80000 - 130000 £ per year.
Our client is a Global FinTech with offices around the world including 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.
Salary: £80,000 - £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.
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.
AI Deployment Engineer in City of London employer: Emponics
As a leading Global FinTech, our client offers an exceptional work environment in both Bristol and London, fostering a culture of innovation and collaboration. Employees benefit from a hybrid working model, competitive salaries, and a comprehensive benefits package, alongside ample opportunities for professional growth and development in the rapidly evolving field of AI. Join a team where your technical expertise will directly contribute to cutting-edge AI solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, SQL, and cloud platforms. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of REST APIs, data pipelines, and orchestration tools. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Deployment Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Deployment Engineer role. Highlight your experience with Python, SQL, and any relevant cloud platforms. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI deployment and how your background makes you the perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or integrating APIs, we want to know what you've done and how it relates to the role.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Emponics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, SQL, and REST APIs. Brush up on your knowledge of orchestration tools like Airflow or Prefect, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled integration failures or data inconsistencies in previous roles. Highlight your debugging instincts and how you ensure reliability and data integrity in your work.
✨Understand the Business Ecosystem
Familiarise yourself with common business systems like CRMs and ERPs, and think about how AI solutions can integrate with these tools. Being able to discuss how you would approach integrating AI into existing systems will show that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI deployments and future plans. This not only shows your interest but also gives you a chance to demonstrate your understanding of the role and how you can contribute to their success.
