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- Tasks: Architect a Context Engine for cybersecurity, turning alerts into actionable insights with ML.
- Company: Cutting-edge AI startup in Greater London backed by top-tier VCs.
- Benefits: Competitive salary, dynamic team environment, and opportunities to tackle complex challenges.
- Why this job: Join a pioneering team at the forefront of AI and cybersecurity innovation.
- Qualifications: Proven ML engineering experience and strong understanding of security concepts.
- Other info: Dynamic environment with exciting engineering challenges and growth potential.
The predicted salary is between 54000 - 84000 £ per year.
A cutting-edge cybersecurity AI startup in Greater London seeks a Lead ML Architect. You will architect a Context Engine for cybersecurity, transforming raw alerts into actionable insights using advanced ML techniques.
Ideal candidates will possess proven ML engineering experience and a strong understanding of security concepts. Join a dynamic team backed by top-tier VCs, tackling complex engineering challenges at the frontier of AI.
Lead ML Architect: Cybersecurity AI Engine (London) employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Architect: Cybersecurity AI Engine (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to cybersecurity. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with ML engineering and security concepts. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that Lead ML Architect role!
We think you need these skills to ace Lead ML Architect: Cybersecurity AI Engine (London)
Some tips for your application 🫡
Show Off Your ML Skills: When you're writing your application, make sure to highlight your experience with machine learning. We want to see how you've tackled complex problems and what advanced techniques you've used in the past.
Connect the Dots with Cybersecurity: Don’t forget to weave in your understanding of security concepts. We’re looking for someone who can bridge the gap between ML and cybersecurity, so share any relevant projects or experiences that showcase this connection.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Lead ML Architect role.
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 Jack & Jill/External Ats
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those related to cybersecurity. This will show that you not only understand the theory but can also apply it practically.
✨Understand Cybersecurity Fundamentals
Since this role is focused on cybersecurity, it's crucial to have a solid grasp of security concepts. Familiarise yourself with common threats, vulnerabilities, and how ML can mitigate these risks. This knowledge will help you stand out as a candidate who can bridge the gap between ML and cybersecurity.
✨Prepare for Technical Challenges
Expect to face technical questions or even coding challenges during the interview. Practice solving problems related to ML algorithms and data processing. Being able to demonstrate your problem-solving skills in real-time will impress the interviewers.
✨Show Your Team Spirit
This role is part of a dynamic team, so be prepared to discuss how you collaborate with others. Share examples of how you've worked in teams to tackle complex engineering challenges. Highlighting your ability to communicate and work well with others will make you a more attractive candidate.
