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About the Role

We're establishing a new Autonomous Vulnerability Research (Harness Engineering) Team with a strong mission to build the Group's agentic vulnerability research platform, enabling AI-powered vulnerability discovery, exploit validation, risk prioritisation, and remediation verification at unprecedented scale and speed. This team will sit at the intersection of offensive security, artificial intelligence, software engineering, and security research. As the Autonomous Vulnerability Research (Harness Engineering) Lead, you will define the vision, recruit and grow a multidisciplinary engineering team, and own the development of the Group's AI-powered vulnerability research platform. You will shape how offensive security is delivered in the future by combining autonomous systems with human guidance to create a scalable, resilient, and continually improving security capability.

Responsibilities

Build and own the Autonomous Vulnerability Research (Harness Engineering) Team, defining strategy, operating model, standards, and roadmap.
Design and deliver LBG's agentic vulnerability research harness and supporting platform services.
Develop autonomous workflows for vulnerability discovery, validation, prioritisation, remediation recommendation, and remediation verification.
Integrate frontier AI models, security tooling, and engineering workflows into a scalable research platform.
Establish evaluation, observability, governance, and safety controls to ensure credible outcomes.
Partner with Offensive Security, AI Security, Engineering, and Architecture teams to operationalise research and accelerate remediation.
Drive innovation in AI-assisted vulnerability research and ensure the capability remains aligned to emerging industry practices.

Requirements

Experience leading engineering, security research, offensive security, or platform engineering teams.
Experience building AI-powered security tooling, agentic systems, or autonomous testing platforms.
Strong understanding of AI systems, LLMs, agentic architectures, and AI evaluation techniques.
Deep knowledge of vulnerability research, penetration testing, application security, or exploit development.
Experience building software platforms, automation frameworks, or large-scale security tooling.
Strong software engineering skills (Python, Go, Rust, Java, or similar).
Expertise in cloud-native architectures, distributed systems, APIs, and platform engineering.
Experience translating modern research into production-ready capabilities.
Consistent track record of building new teams and capabilities from inception and deliver measurable outcomes.
Excellent partner management and influencing skills.
Experience contributing to vulnerability research, security tooling, or open-source projects.
Cyber security related qualifications or trainings
MSc or PhD in Computer Science, Cyber Security, Artificial Intelligence, Machine Learning, or related discipline.
Knowledge of AI red teaming, LLM security testing, or adversarial machine learning.
Experience operating within highly regulated environments such as financial services.

Skills

AI systems
LLMs
Agentic architectures
AI evaluation techniques
Vulnerability research
Penetration testing
Application security
Exploit development
Software platforms
Automation frameworks
Large-scale security tooling
Python
Go
Rust
Java
Cloud-native architectures
Distributed systems
APIs
Platform engineering
AI red teaming
LLM security testing
Adversarial machine learning

Location

Bristol
Leeds
Edinburgh
Manchester
London

Work Type

Full-time
Hybrid Working
Job Share

Experience Level

Experience leading engineering, security research, offensive security, or platform engineering teams.
Experience building AI-powered security tooling, agentic systems, or autonomous testing platforms.
Experience building software platforms, automation frameworks, or large-scale security tooling.
Experience translating modern research into production-ready capabilities.
Consistent track record of building new teams and capabilities from inception and deliver measurable outcomes.
Experience operating within highly regulated environments such as financial services.

Education Level

MSc or PhD in Computer Science, Cyber Security, Artificial Intelligence, Machine Learning, or related discipline.

Salary/Compensations

Non-London Locations: £92,701-£119,966
London: £107,304-£138,864

Benefits

A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies

About the Company

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop.

Equal Opportunity

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.