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- Tasks: Design and maintain security solutions for cutting-edge Generative AI projects.
- Company: Innovative tech firm in Manchester with a focus on AI security.
- Benefits: Up to £90,000 salary, bonuses, and comprehensive benefits package.
- Why this job: Join a dynamic team and influence security decisions in AI technology.
- Qualifications: Strong programming skills in Python and Bash; AWS and Azure experience required.
- Other info: Opportunity to work with top engineers and grow your career in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
Location: Manchester
Salary: up to £90,000 fixed + bonus and benefits
Looking to work on cutting-edge technology and utilise your security engineering expertise within a Generative-AI project focused environment?
What you'll need:
- Strong programming and scripting skills in Python and Bash
- Hands-on experience with AWS and Azure
- Solid knowledge of API development and API security
- Understanding of, or strong interest in, data science and AI/ML methods
- Strong grasp of risk, controls, and secure engineering practices
What you'll be doing:
- Design, build, and maintain security solutions protecting systems and data
- Provide subject matter expertise in security engineering patterns and platforms
- Implement secure protocols, algorithms, and software solutions
- Manage secrets securely across applications and environments
- Identify, assess, and remediate vulnerabilities; support audits and incident response
- Evaluate and adopt emerging cryptographic and AI security technologies
- Collaborate with engineering, data, and security teams to align with business, regulatory, and security requirements
- Develop and maintain Identity and Access Management (IAM) solutions
If you're looking to influence decision making and lead complex initiatives across a cross-functional team of highly skilled engineers - this is for you!
Senior Security Engineer (Generative AI) in Manchester employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Security Engineer (Generative AI) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to security engineering and AI. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common security scenarios and technical questions. Practice explaining your thought process clearly, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Security Engineer (Generative AI) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and Bash, as well as your experience with AWS and Azure. We want to see how your background aligns with the cutting-edge technology we’re working on!
Showcase Your Security Expertise: In your application, emphasise your knowledge of API development and security. We’re looking for someone who can design and maintain robust security solutions, so let us know how you’ve done this in the past.
Express Your Interest in AI/ML: Since this role is focused on Generative AI, it’s important to convey your understanding or interest in data science and AI/ML methods. Share any relevant projects or experiences that demonstrate your passion!
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 ensure it gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Lawrence Harvey
✨Know Your Tech Inside Out
Make sure you brush up on your programming and scripting skills, especially in Python and Bash. Be ready to discuss your hands-on experience with AWS and Azure, as well as any projects where you've implemented API security.
✨Showcase Your Security Savvy
Prepare examples of how you've designed and maintained security solutions in the past. Highlight your understanding of risk management and secure engineering practices, and be ready to discuss how you've handled vulnerabilities and incident responses.
✨Stay Current with AI Trends
Since this role focuses on Generative AI, it’s crucial to demonstrate your interest in AI/ML methods. Familiarise yourself with emerging cryptographic technologies and be prepared to discuss how they can enhance security in AI applications.
✨Collaboration is Key
This position involves working closely with cross-functional teams. Think of examples where you've successfully collaborated with engineers, data scientists, or security teams to meet business and regulatory requirements. Show that you can communicate effectively across disciplines.
