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- Tasks: Enhance AI security platforms and drive innovation in data protection.
- Company: Leading tech firm focused on AI and data security.
- Benefits: Competitive daily rate, flexible work arrangements, and growth opportunities.
- Why this job: Join a cutting-edge team shaping the future of AI security.
- Qualifications: Experience in AI security, cloud platforms, and cybersecurity tools.
- Other info: Dynamic role with potential for career advancement in a diverse environment.
Location: Manchester (3 x per week on-site)
Salary/Rate: Up to £615 per day
Start Date: Feb/Mar 2026
Job Type: 6 months (Inside IR35)
Technology platforms: Expert knowledge in at least one industry-leading AI/GenAI security platform or framework, including tools for model governance, data privacy, and risk mitigation - such as Azure AI Security, AWS AI Guardrails, Google Vertex AI Security, IBM Watson OpenScale, or equivalent solutions.
As an experienced AI Security Engineer, you will play a critical role in advancing our data and AI security capabilities across the organisation. You will help shape the next generation of our data security platform, driving innovation, resilience, and automation at scale. Your expertise will expand the product roadmap, enhance our security posture, and ensure we proactively identify, mitigate, and respond to risks associated with both traditional data systems and emerging GenAI technologies.
In this role, you will combine practical engineering experience with deep knowledge of Data Security, AI Security, and cloud-native security practices. Your work will draw on insights from enterprise scanning across Data Loss Prevention (DLP), Data Privacy and Protection, GenAI specific, SIEM (Security Information and Event Management), and vulnerability management security controls.
Primary Responsibilities:
- Drive enhancements to the AI/GenAI security platform and scanning infrastructure, ensuring alignment with strategic goals and approved budgets.
- Work alongside engineers to contribute to design, build, and optimise cloud-native Data & GenAI Security services.
- Support stakeholders in leveraging and adopting the latest Data & GenAI Security cloud-native application architectures.
- Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software life cycle patterns.
Standard Technical Skills & Competencies:
- Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure.
- Hands-on expertise with core cybersecurity technologies, such as Firewalls, SIEM platforms, IDS/IPS, and related security tooling.
- Proficiency in Python, with the ability to develop automation, security tooling, and data-driven scripts.
- Strong understanding of secure software development practices, including OWASP principles and DevSecOps methodologies integrated into CI/CD workflows.
- Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure.
- Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (e.g., PyTorch, Scikit learn, LangChain) - considered a strong advantage.
Threat Analysis & Vulnerability Assessment:
- Conduct regular threat assessments to identify vulnerabilities in AI/ML systems.
- Develop benchmarks, tools, and scripts to automate vulnerability testing for AI/ML applications.
- Perform code reviews and penetration testing of AI-related software.
Research & Development:
- Stay updated on emerging trends, technologies, and best practices in AI/ML security.
- Execute PoCs/PoVs to evaluate emerging trends, technologies, and practices in the industry.
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer: Notwithstanding any guidelines given to the level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Security Engineer AI in Manchester employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Engineer AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Security Engineers. 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 showcasing your projects, especially those related to AI security. 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 questions and scenarios specific to AI security. Practice articulating your experience with tools like Azure AI Security or AWS AI Guardrails to demonstrate your expertise.
✨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 Security Engineer AI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI security platforms and tools. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
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. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with cybersecurity technologies and programming languages like Python. We’re looking for someone who can hit the ground running, so highlight any relevant projects or tools you’ve worked with.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Square One Resources
✨Know Your AI Security Platforms
Make sure you have a solid understanding of the AI security platforms mentioned in the job description, like Azure AI Security or AWS AI Guardrails. Be ready to discuss your hands-on experience with these tools and how you've used them to enhance data security.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical prowess in areas like threat modelling, penetration testing, and vulnerability assessments. Bring examples of past projects where you applied these skills, especially in AI/ML ecosystems, to show you can hit the ground running.
✨Stay Updated on Trends
Research the latest trends and technologies in AI/ML security. Being able to discuss recent developments or emerging threats will show that you're proactive and passionate about the field, which is crucial for a role focused on innovation and resilience.
✨Practice Your Problem-Solving Skills
Expect scenario-based questions that test your problem-solving abilities. Think through potential security challenges related to AI and prepare to explain how you would approach them, demonstrating your analytical thinking and technical knowledge.
