At a Glance
- Tasks: Build AI features that transform how security teams interact with their data.
- Company: Join ThreatAware, a leader in cybersecurity innovation.
- Benefits: Competitive salary, flexible work options, and hands-on experience with cutting-edge AI.
- Other info: Dynamic team environment with opportunities for rapid learning and growth.
- Why this job: Make a real impact by developing AI solutions that enhance security operations.
- Qualifications: Degree in Computer Science or related field; strong ML foundations and Python skills.
The predicted salary is between 28000 - 38000 € per year.
We’re hiring a Graduate AI Engineer to help build the AI capabilities at the heart of ThreatAware’s next chapter. You’ll work directly with the CTO and our AI specialists — designing, building, and shipping features that let security teams talk to their data in natural language. If you’ve got strong ML foundations, you’re excited about LLMs, and you want to ship real AI products from day one, this is the role.
ThreatAware gives security teams a single source of truth for every device and tool in their organisation. 150+ integrations, deploys in under 30 minutes, real-time visibility across entire IT estates. Finance, legal, energy, healthcare — they trust us to show them what’s protected and what’s not. Now we’re building something bigger. Six years of accurate cyber asset data, and we’re layering AI on top of it — new ways for security teams to interrogate their data, automate workflows, and act on risk before it becomes a problem. Our north star: AI is nothing without accurate data. We have the data. You’ll help build the AI.
What You’ll Do
- Build AI features that go from proof of concept to production.
- Build foundational AI capabilities into the product — the kind of features that change how security teams work.
- Design and iterate on prompts, build evaluation frameworks, and figure out what’s actually working.
- Work with backend engineers to get the right data into AI features — retrieval pipelines, context management, grounding outputs in reality.
- Implement safety checks and guardrails. Our customers are enterprise security teams; accuracy matters more than vibes.
- Ship, learn, iterate. Full product cycle — scoping with Product, building with Engineering, learning from real user feedback.
What We’re Looking For
- A degree in Computer Science, ML, Data Science, or equivalent hands‑on experience.
- Strong foundations in ML concepts.
- You’ve worked with LLMs — whether in coursework, internships, or personal projects.
- You understand prompt engineering and how to structure context.
- Comfortable in Python or a similar language. You write clean, tested code.
- Curiosity and pace. You learn fast, ask good questions, and aren’t afraid to ship something imperfect and improve it.
- Good communication. You can explain what you’re building and why it matters.
- Bonus: experience with evaluation frameworks, RAG, or conversational AI systems.
- Bonus: any exposure to cybersecurity or security operations.
Graduate AI Engineer employer: TargetJobs UK
ThreatAware is an exceptional employer for aspiring AI Engineers, offering a dynamic work environment where innovation meets real-world impact. With direct collaboration alongside the CTO and AI specialists, employees are empowered to design and implement cutting-edge AI features that enhance security operations across various industries. The company fosters a culture of continuous learning and growth, providing opportunities to engage in the full product cycle while working with accurate data to drive meaningful advancements in cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ThreatAware. LinkedIn is your best mate here. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got projects or experiences related to AI and ML, make sure to discuss them in interviews. Bring examples of your work to the table; it’ll help us see your potential.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures in Python. We want to see how you think and solve problems, so be ready to showcase your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the ThreatAware team.
We think you need these skills to ace Graduate AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. Share any personal projects or experiences that highlight your skills and interest in the field. We love seeing candidates who are genuinely excited about building AI products!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Graduate AI Engineer role. Highlight relevant coursework, internships, or projects that align with the job description. We want to see how your background fits into what we're doing at ThreatAware!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate candidates who can communicate effectively, so make sure your writing reflects that!
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 shows you’re serious about joining our team at ThreatAware!
How to prepare for a job interview at TargetJobs UK
✨Know Your ML Foundations
Brush up on your machine learning concepts before the interview. Be ready to discuss your understanding of LLMs and how they can be applied in real-world scenarios, especially in the context of security. This will show that you’re not just familiar with the theory but can also think critically about its application.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving prompt engineering or AI features. Highlight your role in these projects, the challenges you faced, and how you overcame them. This demonstrates your hands-on experience and problem-solving skills.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be working with security teams, being able to communicate effectively is crucial. Think about how you would explain your work to someone without a technical background, as this will showcase your good communication skills.
✨Embrace Feedback
Be open about your willingness to learn and iterate. Share examples of how you've taken feedback in the past and used it to improve your work. This aligns perfectly with the role's emphasis on shipping, learning, and iterating, showing that you're adaptable and eager to grow.
