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- Tasks: Prototype and develop innovative AI solutions in cybersecurity.
- Company: Leading AI cybersecurity firm with a focus on innovation.
- Benefits: 23 days’ holiday, private medical insurance, and hybrid work model.
- Why this job: Join a dynamic team and make a real impact in cybersecurity.
- Qualifications: Experience or interest in programming, cyber-security, and statistical analysis.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI cybersecurity firm is looking for a Software Engineer (Python) to join its R&D teams in Cambridge and London. The role involves prototyping and developing innovative solutions while collaborating with cross-functional teams.
Candidates should have experience or interest in cyber-security, statistical analysis, and programming.
The position offers a hybrid model, with benefits like 23 days’ holiday and private medical insurance.
Python Software Engineer - AI Cybersecurity (Hybrid UK) in Cambridge employer: Darktrace
Contact Detail:
Darktrace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer - AI Cybersecurity (Hybrid UK) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI cybersecurity space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to cybersecurity. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice with friends or use online platforms to simulate the interview experience. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Python Software Engineer - AI Cybersecurity (Hybrid UK) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects in AI or cybersecurity. We want to see how your skills align with what we do, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for cybersecurity and how you can contribute to our R&D teams. Let us know why you’re excited about this role and working with us.
Showcase Your Projects: If you've worked on any interesting projects, especially in AI or cybersecurity, make sure to mention them. We love seeing practical examples of your work and how you approach problem-solving.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Darktrace
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python in real-world applications, especially in relation to AI and cybersecurity.
✨Understand Cybersecurity Fundamentals
Since this role is focused on AI cybersecurity, it’s crucial to have a solid grasp of cybersecurity principles. Familiarise yourself with common threats, vulnerabilities, and the latest trends in the field to show your genuine interest.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Practice solving problems on platforms like LeetCode or HackerRank, and be ready to explain your thought process clearly.
✨Emphasise Collaboration and Communication
This role involves working with cross-functional teams, so highlight your teamwork and communication skills. Share examples of how you've successfully collaborated with others in past projects, especially in a hybrid work environment.
