At a Glance
- Tasks: Own the data infrastructure for AI deployments and integrate solutions into 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 AI deployment space.
- Qualifications: 3-5 years 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 London employer: Emponics Limited
Join a leading Global FinTech that values innovation and collaboration, offering a dynamic work environment in either Bristol or London. With a strong focus on employee growth, you will have access to excellent benefits and the opportunity to work alongside talented professionals in a hybrid setting, ensuring a healthy work-life balance while contributing to cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI deployment. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI deployment. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to 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 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 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 a great fit. We love seeing enthusiasm and a personal touch.
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 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 Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of REST APIs and orchestration tools like Airflow or Prefect. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around data pipelines and system integrations. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your troubleshooting instincts and how you ensure reliability in production environments.
✨Understand the Business Context
Research the company’s business model and how AI fits into their strategy. Be ready to talk about how your role as an AI Deployment Engineer can enhance their operations. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the AI deployment team. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
