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.
- 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.
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 Newport 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 competitive salary, flexible hybrid working arrangements, and ample opportunities for professional growth within a cutting-edge industry. Join a team where your contributions directly impact the deployment of AI solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in Newport
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to AI deployment. This will give potential employers a clear idea of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, SQL, and integration patterns. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that AI Deployment Engineer role. We love seeing candidates who are proactive and engaged with our platform!
We think you need these skills to ace AI Deployment Engineer in Newport
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 Relevant Projects:If you've worked on projects involving data pipelines or system integrations, make sure to mention them. We want to know about your hands-on experience and how you've tackled challenges in the past.
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. Plus, it’s super easy to do!
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 and cloud platforms, as these will likely come up during technical discussions.
✨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 and highlight how you tackled those issues.
✨Understand the Business Context
Research the company’s business model and how AI solutions fit into their strategy. Being able to articulate how your role as an AI Deployment Engineer contributes to their goals will impress the interviewers and show that you’re not just technically savvy but also business-minded.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future AI initiatives. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
