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Mastek

AI Security Tester

Reading
Posted 12 days ago
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AI Security Tester (SC Cleared/Eligible) – Secure Next-Gen AI Solutions at Mastek

We’re hiring AI Security Tester with proactive offensive security expertise to test and protect our cutting-edge AI/ML systems!

About the Role

  • Location: Hybrid role with travel requirements when securing Mastek offices or customer sites
  • Challenge: Ace adversarial hacking of AI systems, from model guardrail stress-testing to data privacy threat modelling
  • On a mission: Ensure AI deployments are secure and trustworthy before deployment

Day-to-Day Responsibilities

Your role will focus on red-teaming AI systems, identifying vulnerabilities, and hardening them:

  • ✅ Conduct adversarial testing to probe AI model safety and guardrails
  • ✅ Perform penetration testing and fuzzing of AI systems (e.g., APIs, model inference pipelines)
  • ✅ Identify attackable risks such as:
    • Data poisoning and model corruption
    • Evasion attacks (e.g., prompt injection)
    • Hallucinations and unreliability
    • Bias and fairness vulnerabilities
  • ✅ Validate AI data privacy controls, PII handling, encryption mechanics
  • ✅ Simulate low-to-high fidelity attack scenarios, including prompt engineering exploits
  • ✅ Document and chain together evidence of vulnerabilities in lower environments
  • ✅ Analyse threat vectors and collaborate on mitigation strategies

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Must-Have Requirements

The ideal candidate boasts:

  • 5+ years in offensive cybersecurity (given via AppSec, pen testing, or advanced threat research)
  • 2+ years focused on AI/ML security challenges
  • Fluid programming skills in Python and/or Java
  • Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with:
    • AI tooling (LangChain, LlamaIndex, transformer-based LLMs)
    • AI red-teaming playbooks (e.g., Atome, Full Stack Deep Learning attacks)
  • Demonstrated capability to privilege escalate into AI systems—not just theoretical knowledge

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Nice-to-Haves

  • MS in Computer Science, Cybersecurity, AI/ML or related fields
  • Certifications like CISSP or emerging AI security credentials (e.g., CSEC, Exam I, or vendor-sourced track records)
  • Pure-play AI/ML background with prior protective controls engaged

Security Clearance

  • SC-level clearance required or eligibility to obtain clearance within timelines

Note: Travel to sites when ensuring security across systems, but ultimately a hybrid approach balances professional independence with on-site support.

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Skills

Offensive Cybersecurity
Penetration Testing
Red Teaming
AI Security
Machine Learning
Python
Java
Data Privacy
Model Guardrails
Adversarial Testing
Fuzzing
Data Poisoning
Model Evasion
Threat Analysis
Mitigation Strategies

Location

Reading, England, United Kingdom

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