At a Glance
- Tasks: Own the infrastructure for AI deployments and ensure seamless integration with business systems.
- Company: Global FinTech leader with a dynamic hybrid work culture.
- Benefits: Competitive salary, excellent benefits, and flexible working arrangements.
- Other info: Opportunity for career growth in a fast-paced, innovative environment.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Experience in software or data engineering with strong Python and SQL skills.
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.
- Claude Code, Claude Cowork, or Claude Skills.
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 Bath employer: Emponics
As a leading Global FinTech, our client offers an exceptional work environment in either Bristol or London, where innovation meets collaboration. With a hybrid working model, employees enjoy flexibility while being part of a dynamic team that drives cutting-edge AI solutions. The company prioritises employee growth through continuous learning opportunities and provides a competitive salary alongside excellent benefits, making it an ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in Bath
✨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 and contributions. This is your chance to demonstrate your Python and SQL prowess, so let’s make it shine!
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Deployment Engineers and practice your answers. We want you to feel confident discussing your experience with data pipelines and system integrations.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace AI Deployment Engineer in Bath
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 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. Let us know what excites you about working with our team.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or integrating systems, we love to see real-world examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter!
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. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your debugging instincts.
✨Understand the Business Ecosystem
Familiarise yourself with how AI solutions integrate into business systems like CRMs and ERPs. Be ready to discuss how you would approach building APIs and middleware to ensure seamless communication between these systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI deployment strategies and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
