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- Tasks: Apply machine learning to cyber threat intelligence and design scalable models.
- Company: Leading internet security company with a mission-driven culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a team tackling real-time cyber threats with cutting-edge technology.
- Qualifications: Deep understanding of machine learning and passion for cybersecurity.
- Other info: Dynamic role located in Greater London with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading internet security company is seeking a Machine Learning Engineer to join their Cloudforce One team. This role will involve applying machine learning to cyber threat intelligence, designing and deploying scalable models, and collaborating with Data Scientists.
Candidates should have a deep understanding of machine learning, resolve production issues effectively, and be passionate about cybersecurity. The position is located in Greater London and offers the chance to work on cutting-edge technology in a mission-driven environment.
Threat Intelligence ML Engineer — Real-Time Cyber Defense employer: CloudFlare
Contact Detail:
CloudFlare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Threat Intelligence ML Engineer — Real-Time Cyber Defense
✨Tip Number 1
Network like a pro! Reach out to professionals in the cybersecurity and machine learning fields on LinkedIn. Join relevant groups, participate in discussions, and don’t be shy to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to cybersecurity. This could be anything from personal projects to contributions to open-source initiatives. We want to see your passion and expertise in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common interview questions and scenarios related to real-time cyber defense. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Tailor your application to highlight your experience with scalable models and production issue resolution. We’re excited to see how you can contribute to our mission-driven team!
We think you need these skills to ace Threat Intelligence ML Engineer — Real-Time Cyber Defense
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and cybersecurity. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for cybersecurity and explain why you’re excited about joining our Cloudforce One team. Let us know what makes you tick!
Showcase Your Problem-Solving Skills: In your application, mention specific instances where you've resolved production issues or tackled complex challenges in machine learning. We love seeing how you think on your feet and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at CloudFlare
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to cybersecurity. Be ready to discuss algorithms, model deployment, and any real-world applications you've worked on. This will show that you’re not just familiar with the theory but can apply it in a practical setting.
✨Show Your Passion for Cybersecurity
This role is all about cyber threat intelligence, so let your enthusiasm shine through! Share any personal projects or experiences related to cybersecurity. Whether it's a blog, a hackathon, or even just staying updated with the latest threats, showing genuine interest can set you apart.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems related to machine learning and be prepared to explain your thought process. It’s not just about getting the right answer; they want to see how you approach problem-solving.
✨Collaborate and Communicate
Since this role involves working closely with Data Scientists, demonstrate your ability to collaborate effectively. Be ready to discuss how you’ve worked in teams before, resolved conflicts, or communicated complex ideas clearly. Good teamwork skills are essential in a mission-driven environment.
