At a Glance
- Tasks: Lead a team to develop and test innovative offensive cyber capabilities.
- Company: Join the Alan Turing Institute, a leader in AI security research.
- Benefits: Competitive salary, flexible working, and family-friendly policies.
- Other info: Diverse and inclusive environment with opportunities for growth.
- Why this job: Make a real impact in cybersecurity while collaborating with top researchers.
- Qualifications: Strong cybersecurity fundamentals and a passion for AI systems.
The predicted salary is between 70179 - 76027 £ per year.
Operating as part of our Defence & National Security team, our work depends not just on new ideas, but on strong experimental practice, rigorous implementation, and high-quality prototyping. The Offensive Security Unit (OSU) forms part of the Government’s wider Laboratory for AI Security Research initiative, which brings together academia, industry, and government to advance UK leadership in AI security research. Without truly understanding the future of cyber attacks we are limited in our ability to defend. OSU will be a dedicated team that will identify, design and assess new AI-enabled offensive techniques. The goal of this group is to keep abreast of the “art of the possible” and pre-empt the emergence of new offensive capability under the direction of the Turing’s Director of Science and Innovation for Defence and National Security and in close collaboration with our Government partners.
We are seeking a Team Lead with strong technical fundamentals in cybersecurity and practitioner background, a deep interest in how modern AI systems behave, and a passion for solving real-world security challenges. This is a high impact role where you will lead a group of researchers and engineers and hold a deep collaborative relationship with our partners to deliver at pace.
HOW YOU WILL MAKE AN IMPACT- Drive the development of the research portfolio to identify, design and test new offensive cyber capabilities that goes beyond the state-of-the art to deliver novelty.
- Lead and manage an ambitious and high-performing team that prioritizes rapid delivery, iterative testing and an outcomes-focused approach.
- Ensure a high experimentation culture and good portfolio management, daring to explore hard and challenging problems and comfortable de-prioritising lines of enquiry.
- Maintain a close and effective working relationship with partners to understand key requirements, barriers and troubleshoot to help advance the partnership.
- Responsible for technical quality and scientific robustness of research design, experimentation strategies, evaluation and resulting outputs.
- Develop and maintain an approach to scalable infrastructure suited to the requirements and sensitivities of research and experimentation.
- Work collaboratively across Turing areas to ensure the smooth running of the group, including the Programme Management team to ensure timely delivery of outputs and reports.
- Communicate clearly with researchers, engineers, and operational stakeholders through demonstrations, documentation, and technical discussions.
- Able to communicate clearly with both technical and non-technical stakeholders and across disciplines.
- Are naturally curious about how models behave and how things can go wrong under adversarial or high stress conditions.
- Enjoy collaborating with researchers to refine ideas and turn them into high-quality prototypes.
- Want your research and engineering expertise to have direct scientific impact.
Eligibility for DV clearance is an essential requirement for this role. This full-time post is offered on a two year fixed term basis. Salary range is £70,179 - £76,027 plus excellent benefits, including flexible working and family friendly policies.
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed.
Team Lead- Offensive Security Unit employer: The Alan Turing Institute
The Alan Turing Institute is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Defence & National Security sector. With a strong commitment to employee growth, flexible working arrangements, and a culture that values diversity and inclusion, you will have the opportunity to lead a high-performing team while making a significant impact on AI security research. Join us in shaping the future of cybersecurity in a role that not only challenges you but also supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Team Lead- Offensive Security Unit
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and AI fields on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to offensive security and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical topics. Be ready to discuss your approach to problem-solving and how you collaborate with teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who want to make an impact.
We think you need these skills to ace Team Lead- Offensive Security Unit
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Team Lead role in Offensive Security. Highlight your technical fundamentals in cybersecurity and any relevant leadership experience to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI security research. Share specific examples of how you've tackled real-world security challenges and how you can drive innovation within our team.
Showcase Your Collaborative Spirit:We love teamwork! In your application, mention instances where you’ve successfully collaborated with others, especially in high-pressure situations. This will help us see how you can thrive in our dynamic environment.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity in our Offensive Security Unit.
How to prepare for a job interview at The Alan Turing Institute
✨Know Your Cybersecurity Fundamentals
Make sure you brush up on your technical knowledge in cybersecurity. Be prepared to discuss the latest trends and challenges in offensive security, especially how AI is shaping the landscape. This will show that you’re not just familiar with the basics but are also engaged with current developments.
✨Demonstrate Your Leadership Skills
As a Team Lead, you'll need to showcase your ability to manage and inspire a high-performing team. Think of examples from your past experiences where you successfully led a project or team, focusing on how you fostered collaboration and drove results.
✨Prepare for Scenario-Based Questions
Expect questions that put you in hypothetical situations related to offensive security. Practice articulating your thought process on how you would tackle complex problems, especially under pressure. This will highlight your critical thinking and problem-solving skills.
✨Communicate Clearly with Diverse Stakeholders
You’ll need to interact with both technical and non-technical partners. Prepare to explain complex concepts in simple terms and demonstrate your ability to bridge gaps between different disciplines. This skill is crucial for ensuring effective collaboration and understanding across teams.