Staff Threat Detection & Response Engineer in London

Staff Threat Detection & Response Engineer in London

London Full-Time 65000 - 75000 £ / year (est.) On-site
AI Safety Institute

At a Glance

  • Tasks: Design and implement security measures for advanced AI systems, ensuring safe research practices.
  • Company: Join the AI Security Institute, a leader in AI risk management and safety.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Make a real impact on AI safety while working with cutting-edge technology.
  • Qualifications: Experience in detection engineering and understanding of AI/ML security risks.

The predicted salary is between 65000 - 75000 £ per year.

Staff Threat Detection & Response Engineer

London, UK

About the AI Security Institute

The AI Security Institute is the world\'s largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10, and we work with frontier developers and governments globally.

We’re here because governments are critical for advanced AI going well, and AISI is uniquely positioned to mobilize them. With our resources and the UK government\'s unique agility and international influence, this is the best place to shape both AI development and government action.

About the Team:

Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We are founding the Security Engineering team in a largely greenfield cloud environment, we treat security as a measurable, researcher centric product. Secure by design platforms, automated governance, and intelligence led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership.

What you might work on:

  • Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely
  • Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility)
  • Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale
  • Develop automated, evidence driven assurance mapped to relevant standards, reducing audit toil and improving signal
  • Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them
  • Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer
  • Assess third party services and hardware/software supply chains; introduce lightweight controls that raise the bar
  • Contribute to open standards and open source, and share lessons with the broader community where appropriate

If you want to build security that accelerates frontier scale AI safety research, and see your work land in production quickly, this is a good place to do it

Role Summary

Build and maintain a modern, mission-aware detection engineering practice. You’ll own AISI’s threat model, define detections that reflect AISI-specific risks, and collaborate with DSIT’s SOC to extend coverage and context. You’ll focus on signal quality, not alert volume. You will extend coverage to AI/ML surfaces, instrumenting the model lifecycle and AI platforms so threats to model weights, data pipelines, GPU estates, and inference endpoints are visible, correlated, and actionable.

Responsibilities

  • Define and evolve AISI’s threat model, working with platform, research, and policy teams
  • Write detection rules, correlation logic, and hunt queries tailored to AISI\'s risk surface
  • Ensure relevant signals are logged, routed, and contextualised appropriately
  • Maintain detection playbooks, triage documentation, and escalation workflows
  • Act as a liaison between AISI engineering and DSIT\'s central SOC
  • Evaluate detection gaps and propose new signal sources or telemetry improvements
  • Extend the threat model to AI/ML: data/feature pipelines, training/finetuning, evaluations/release gates, registries, GPUs, and inference services
  • Develop detections for AI-specific risks: model weight custody/exfil (e.g., anomalous KMS decrypts, S3 access), registry tampering, dataset poisoning, training pipeline/image compromise, GPU abuse/cryptomining, and inference abuse (prompt injection/data exfil patterns, anomalous RAG connector access)
  • Define hunts and correlations that tie AI safety/evaluation signals (red-team hits, eval regressions, release gate overrides) to security events and insider/outsider activity
  • Author and rehearse AI-focused incident playbooks (weights leak, compromised model artefacts, inference abuse campaigns) with DSIT SOC

Profile requirements

  • Strong understanding of detection-as-code, MITRE ATT&CK, log pipelines, and cloud signal sources
  • Able to navigate outsourced SOC relationships while owning internal threat understanding
  • Familiarity with AWS CloudTrail, GuardDuty, KMS, S3 access logs, EKS/ECS audit, custom log ingestion; exposure to SageMaker/Bedrock or equivalent a plus
  • Curious, methodical, and proactive mindset
  • Practical grasp of AI/ML attack surfaces and telemetry needs (model registries, weights custody, GPU/accelerator fleets, inference gateways, vector stores)
  • Familiarity with AI threat frameworks (e.g., MITRE ATLAS, OWASP Top 10 for LLMs) desirable
  • Detection engineering mindset focused on signal quality and measurable coverage
  • Familiarity with MITRE ATT&CK and detection pipelines
  • Understanding of cloud-native telemetry and logging gaps
  • Ability to collaborate with outsourced SOCs
  • Instrumenting and detecting threats across AI/ML workloads (weights, datasets, training/inference) and correlating safety and security signals

Salary & Benefits

We are hiring individuals at all ranges of seniority and experience within this research unit, and this advert allows you to apply for any of the roles within this range. Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plusadditional benefitsas detailed on this page.

  • Level 3 - Total Package £65,000 - £75,000inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280
  • Level 4 - Total Package £85,000 - £95,000inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505
  • Level 5 - Total Package £105,000 - £115,000inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195
  • Level 6 - Total Package £125,000 - £135,000inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230
  • Level 7 - Total Package £145,000inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230

This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures.

There are a range of pension options available which can be found through the Civil Service website.

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Staff Threat Detection & Response Engineer in London employer: AI Safety Institute

The AI Security Institute is an exceptional employer, offering a unique opportunity to work at the forefront of AI governance and security in London. With a mission-driven culture, employees benefit from direct influence on global AI policies, extensive resources for research, and a supportive team environment that fosters professional growth. The organisation prioritises work-life balance with generous leave policies, hybrid working options, and a commitment to employee development, making it an ideal place for those seeking meaningful and impactful careers.

AI Safety Institute

Contact Details:

AI Safety Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Threat Detection & Response Engineer in London

✨Get Involved in the Cybersecurity Community

Diving into the cybersecurity community is key for landing that full-time gig. Join forums like Reddit's r/cybersecurity or attend local meetups to connect with industry veterans and other job seekers. Networking is everything in this field—don’t just be a passive lurker!

✨Show Off Your Skills with Capture the Flag Competitions

Participate in Capture the Flag (CTF) competitions; these are not just a fun way to boost your skills but also a chance to showcase your talent to potential employers. Many companies, including AI Safety Institute, love seeing candidates who actively engage in these challenges.

✨Tailor Your Online Presence

Make sure your LinkedIn and any professional profiles reflect your cybersecurity expertise. Share your projects, whether they’re personal or from a previous role, to catch the eye of hiring managers. This is how they’ll find your passion and commitment to the field!

✨Apply Directly Through AI Safety Institute

Don’t forget to head straight to our website and check out any openings for cybersecurity roles at AI Safety Institute. Applying directly can sometimes give you an edge, especially if you can mention that you've been following our work or engaging in the community.

We think you need these skills to ace Staff Threat Detection & Response Engineer in London

Detection-as-Code
MITRE ATT&CK
Log Pipelines
Cloud Signal Sources
AWS CloudTrail
GuardDuty
KMS

Some tips for your application 🫡

Show off your technical skills:In cybersecurity, it's crucial to highlight your technical prowess. Make sure your CV showcases specific skills like network security, penetration testing, or threat analysis. If you have relevant certifications (like CEH or CISSP), pop those on the front page to grab attention!

Tailor your portfolio for the role:Even for a full-time role, a portfolio can set you apart. If you've worked on any cybersecurity projects—be it CTF challenges, security assessments, or research papers—include these in your application. This demonstrates not just your skills, but also your hands-on experience!

Use real-world examples:When writing your cover letter, don’t just stick to your qualifications. Share real-world examples of how you’ve tackled security issues or vulnerabilities. This gives the hiring team at AI Safety Institute insight into your practical problem-solving abilities and makes your application memorable.

Demonstrate your passion for cybersecurity:Cybersecurity is an ever-evolving field, so show us that you’re always learning! Mention any recent courses, webinars, or industry events you’ve attended. This not only exhibits your enthusiasm but also signals to AI Safety Institute that you’re committed to staying ahead in the game.

How to prepare for a job interview at AI Safety Institute

✨Sharpen Your Technical Skills

For a role in cybersecurity, it’s essential to be up-to-date with the latest tools and techniques. Brush up on your knowledge of firewalls, intrusion detection systems, and vulnerability assessment tools. Be ready to discuss specific scenarios where you’ve applied these skills, as hands-on experience can really set us apart in interviews.

✨Prepare for Scenario-Based Questions

Expect the interviewers at AI Safety Institute to throw in some hypothetical situations to see how you’d handle them. Think about common security breaches or incidents and be prepared to explain how you would respond. This not only shows your problem-solving skills but also your understanding of real-world cybersecurity challenges.

✨Highlight Your Certifications

Certifications like CompTIA Security+, CISSP, or CEH can give you a significant edge in a full-time role in cybersecurity. Make sure to mention these during your interview and be prepared to discuss what you learned through those certifications and how they relate to the position at AI Safety Institute.

✨Show Your Passion for Cybersecurity

Since you’re going for a full-time gig, showing genuine enthusiasm for the field can make all the difference. Share any personal projects, blogs, or communities you’re part of that relate to cybersecurity. This not only showcases your passion but also your commitment to staying engaged in this ever-evolving field.