Applied AI Engineer

Applied AI Engineer

Full-Time 59400 - 72600 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the development of applied AI solutions using Python and Azure.
  • Company: Join CloudGuard, a pioneering cybersecurity firm with a fresh approach.
  • Benefits: Enjoy competitive salary, hybrid work, and opportunities for growth.
  • Other info: Be part of a diverse team committed to innovation and security.
  • Why this job: Shape the future of cybersecurity while working with cutting-edge technology.
  • Qualifications: Experience in Python, machine learning, and cloud platforms required.

The predicted salary is between 59400 - 72600 £ per year.

This is a new and senior role for CloudGuard's applied AI function in Ireland.

Location: Hybrid — with 1 day per week in Belfast Office

Employment Type: Full-Time, Permanent

Salary: Competitive — dependent on experience

About the Role

This is a new and senior role. We are standing up CloudGuard's applied AI function and the person we hire builds it and sets its direction. Day to day you will be hands-on in Python and Azure — training models, taking agentic workflows from prototype into secure production deployment, and building the search and retrieval layers underneath them. You will also be trusted with the wider decisions that come with the role: what we train on, how we secure every input surface that reaches a model, and how we satisfy ourselves that an output is correct rather than plausible. We are asking for experience because you will be making those calls as you grow the role. You will have people to think with: an engineering team that has built and shipped this platform, analysts who run our SOC every day, and a CTO close to the work.

Key Responsibilities

  • Build and train ML models in Python using PyTorch, sklearn and TensorFlow, and own the data work behind them: sourcing, cleaning, encoding and vectorisation.
  • Take agentic workflows from prototype into secure, production-grade deployment, and support them once they are live.
  • Design and maintain search and retrieval systems as our data needs grow.
  • Build on Azure as the platform’s primary AI tooling.

Security & Model Protection

  • Apply model security across every input surface: jailbreak prevention and prompt injection defence wherever untrusted input reaches a model.
  • Extend the platform’s model guardrails as you add new capability.
  • Flag risk early — "here's the gotcha" or "consider doing it this way" — rather than waiting to be asked.

Leadership & Strategic Input

  • Own the technical direction of CloudGuard's applied AI function, including which problems we take on next.
  • Advise on our data strategy and on the architecture of the secure interfaces that sit in front of our models.
  • Validate and improve existing AI capability so we can stand behind what it produces.
  • Act as a second, deeper line of technical judgement alongside the engineers already reviewing this work.

About CloudGuard

CloudGuard is a UK-based Microsoft Security specialist MSSP – built differently from the ground up. Operating dual Security Operations Centres in Manchester and Belfast, we combine deep Microsoft security expertise with human-led operations to deliver security that is measurable, scalable, and continuously evolving. We exist to close the gap between the security organisations think they have and the security they actually need. ‘Security. Done Different.’ is not a tagline, it’s how we operate every day.

What We’re Looking For

Experience & Background

  • Python at production standard, with hands-on modelling experience in PyTorch and at least one of sklearn or TensorFlow.
  • You have owned the full modelling lifecycle yourself: sourcing, cleaning, encoding and vectorisation, including how raw text becomes something a model can use and the decisions that get baked in at that first layer.
  • Agentic workflows you have taken into production and then supported, rather than prototypes built against a frontier model.
  • Model security you have applied in production: jailbreak prevention and prompt injection defence across every point where untrusted input reaches a model.
  • Production experience building agents, workflows and model deployments on a major cloud AI platform. Ours is Azure, and equivalent depth on AWS Bedrock or similar transfers.
  • Vector databases you have run in production, and search and retrieval systems that stayed accurate as the data behind them grew.
  • Hands-on with MCP or an equivalent agent-tooling protocol.

Skills & Qualities

  • Judgement alongside execution — able to lead the function, not just staff it.
  • Genuine industry experience of the gap between "works in a demo" and "works in production."
  • Security-aware by instinct, treating every input as hostile until proven otherwise.
  • Curious and proactive — brings new ideas rather than waiting to be assigned them.
  • Comfortable owning ambiguity in a function that’s still being defined.

Qualifications

  • Degree-level education in a relevant field, or equivalent practical experience.
  • Eligible to work in the UK.
  • Willing to undergo standard employment vetting checks common to an MSSP handling customer security data.

What You Can Expect from CloudGuard

  • Real ownership of CloudGuard's applied AI function from its earliest stage.
  • Direct exposure to CloudGuard's platform strategy, working closely with the CTO.
  • A technically credible interview process, with genuine depth rather than box-ticking.
  • The opportunity to shape a multi-year platform with real strategic ambition behind it.
  • Dual SOC operations in Manchester and Belfast — a business with real scale, real clients, and real ambition.
  • Competitive salary and benefits package, reviewed regularly as the business grows.

CloudGuard is an equal opportunities employer. We are committed to building a team as diverse as the clients we protect.

Office Requirement: Hybrid (1 day required in Belfast office)

Applied AI Engineer employer: CloudGuard Ltd

At CloudGuard, we pride ourselves on being a progressive employer that fosters a collaborative and innovative work culture. With dual Security Operations Centres in Manchester and Belfast, we offer our Full Stack Developers the unique opportunity to shape a core product while enjoying competitive salaries, regular reviews, and a clear path for professional growth. Join us to be part of a forward-thinking team that values your contributions and invests in your development as we redefine cybersecurity together.

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Contact Details:

CloudGuard Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI 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 CloudGuard Ltd 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 CloudGuard Ltd.

✨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 CloudGuard Ltd.

✨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 CloudGuard Ltd 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 Applied AI Engineer

Python
PyTorch
sklearn
TensorFlow
Model Lifecycle Management
Data Sourcing and Cleaning
Vectorisation

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 CloudGuard Ltd.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CloudGuard Ltd 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 CloudGuard Ltd

✨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 CloudGuard Ltd 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.