Production-Focused AI Deployment Engineer

Production-Focused AI Deployment Engineer

Full-Time 81000 - 99000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI deployments and integrate innovative solutions across the Moneybox platform.
  • Company: Join Moneybox, a forward-thinking company revolutionising finance with AI.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on safe and scalable AI systems.
  • Why this job: Make a real impact by turning ideas into powerful AI capabilities.
  • Qualifications: Experience in AI deployment and collaboration with technical teams.

The predicted salary is between 81000 - 99000 £ per year.

Moneybox is hiring a Senior AI Deployment Engineer to lead end-to-end AI-enabled engagements across the business.

You will deploy AI-driven solutions, integrate LLM components with the Moneybox platform, and work with Decisioning and Data Science teams to ship production-grade features.

This role emphasizes safe, scalable AI systems, guardrails, and cost-aware operation, not model training.

You’ll partner with non-technical owners to turn ideas into load-bearing capabilities.

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Production-Focused AI Deployment Engineer employer: Moneybox

At Moneybox, we pride ourselves on being an excellent employer by fostering a supportive and collaborative work culture that prioritises employee well-being and growth. Our Customer Operations Specialists play a crucial role in helping first-time homebuyers navigate their financial journeys, and we offer comprehensive training, career development opportunities, and a vibrant team environment in a location that encourages work-life balance. Join us to make a meaningful impact while enjoying the unique advantages of working in a dynamic fintech company.

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Contact Details:

Moneybox Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Production-Focused AI Deployment Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moneybox or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moneybox.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moneybox.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Moneybox that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Production-Focused AI Deployment Engineer

AI Deployment
Integration of LLM Components
Collaboration with Decisioning Teams
Collaboration with Data Science Teams
Production-Grade Feature Development
Safe AI Systems
Scalable AI Systems

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moneybox.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moneybox and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Moneybox

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moneybox uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.