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- Tasks: Develop innovative security strategies and conduct security assessments for AI applications.
- Company: Join a forward-thinking organisation focused on AI and data security.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI security and make a real difference in tech safety.
- Qualifications: Mastery in Network Encryption and experience with AI security technologies.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are seeking a talented Cybersecurity Specialist to join the AI & Data Security team, where you will contribute to the delivery and ongoing evolution of the organisation's AI Security programme.
As a Cybersecurity Specialist, you will bring hands‑on experience with leading AI technologies and platforms—primarily AWS Bedrock, Azure OpenAI, Microsoft 365, and other foundation model providers—to support teams in adopting these capabilities securely and effectively. You will provide guidance on model security, deployment patterns, guardrails, integration architectures, observability, evaluation techniques, and safe operationalisation across a wide range of business use cases. You will translate platform‑specific risks, limitations, and best practices into actionable engineering patterns and governance controls.
In this role, you will act as a subject‑matter expert, collaborating with and supporting the wider team to ensure high‑quality outcomes. You will influence key decisions, engage with multiple teams, and provide practical solutions to technical and security challenges across the organisation.
Required & Recommended Proficiencies
- Master proficiency (required): Network Encryption
- Expert proficiency (recommended): Secure AI
- Master proficiency (suggested): Microsoft Azure Active Directory Security
- Intermediate proficiency (suggested): AI Agents, Amazon Bedrock, Microsoft Azure AI Foundry
Key Responsibilities
- Develop innovative security strategies to enhance application and AI security.
- Conduct regular security assessments and audits to identify vulnerabilities and recommend remediation.
- Collaborate with cross‑functional teams to ensure secure design and implementation of AI and digital solutions.
- Stay up to date with emerging security trends, technologies, and threat landscapes to inform architecture and governance decisions.
- Mentor and support team members on secure application design, AI security principles and best practices.
Skills
- Master proficiency in Network Encryption is required; expert proficiency in Secure AI is recommended.
- Master proficiency in Microsoft Azure Active Directory Security, with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is preferred.
AI Security Specialist in London employer: Institute of Communication
Contact Detail:
Institute of Communication Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Specialist in London
✨Tip Number 1
Network with industry professionals! Attend meetups, webinars, or conferences related to AI and cybersecurity. This is a great way to make connections and learn about job openings that might not be advertised.
✨Tip Number 2
Showcase your skills through projects! Create a portfolio that highlights your experience with AWS Bedrock, Azure OpenAI, and other relevant technologies. This can really set you apart when you're in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of network encryption and secure AI practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply directly through our website! It’s often the quickest way to get noticed. Plus, it shows your enthusiasm for the role and the company. Don’t hesitate to follow up after applying to express your interest!
We think you need these skills to ace AI Security Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Cybersecurity Specialist. Highlight your experience with AI technologies and platforms like AWS Bedrock and Azure OpenAI, as well as your skills in network encryption and secure AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI security and how your background makes you a perfect fit for our team. Don’t forget to mention any relevant projects or experiences.
Showcase Your Skills: In your application, be sure to showcase your master proficiency in Network Encryption and Microsoft Azure Active Directory Security. Provide specific examples of how you've applied these skills in past roles to solve real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Institute of Communication
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI technologies mentioned in the job description, like AWS Bedrock and Azure OpenAI. Brush up on their security features and be ready to discuss how you’ve used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled security challenges in previous roles. Think about specific vulnerabilities you identified and how you remediated them, as this will demonstrate your hands-on experience and critical thinking.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI security and cybersecurity in general. Being able to discuss recent developments or emerging threats will show that you’re proactive and engaged in the field.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, practice articulating your ideas clearly. Be prepared to discuss how you would mentor others on secure application design and share best practices effectively.
