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Head of Engineering - Cyber Security, AI & R&D UK Remote

Remote / Online - Candidates ideally in
Milton Keynes, Buckinghamshire, MK8 9DJ, England, UK
Listing for: Circle Group
Contract, Remote/Work from Home position Listed on 2026-11-10
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 150000 GBP Yearly GBP 150000.00 YEAR

Job Description & How to Apply Below

Head of Engineering
- Cyber Security, AI & R&D UK Remote | Circa £150,000 / Negotiable An exceptional opportunity for an experienced engineering leader to take ownership of a globally distributed technical function within an ambitious, technology-led cyber security business. This is a senior leadership position combining strategic direction, people development and hands-on technical expertise. You will lead multidisciplinary engineering teams spanning security research, software development, large-scale data systems, sensor technology and AI-driven vulnerability research.

The focus is on building and scaling sophisticated security capabilities, developing innovative offensive technologies and using AI to accelerate the discovery, analysis and validation of security weaknesses across the global internet.

The Role As Head of Engineering, you will be responsible for the direction, performance and continued growth of an international engineering organisation, working across global teams.

Key responsibilities include:

Lead and scale global engineering teams across cyber security, backend development, sensor infrastructure and AI-driven vulnerability research. Manage and develop engineering leads and individual contributors, establishing strong performance, mentoring and career development frameworks. Set technical strategy, engineering standards and delivery priorities, balancing innovation, quality and execution. Oversee the development of advanced security technologies that replicate real-world attacker behaviour, uncover vulnerabilities and improve defensive capabilities.

Provide hands-on technical leadership across architecture, system design, code reviews and complex engineering challenges. Drive the adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery, exploit reproduction, security analysis and automation. Champion research, experimentation and rapid prototyping, turning promising technical concepts into robust, production-ready systems. Work closely with research, product and platform teams to ensure technical innovation translates into commercially valuable capabilities.

Build a collaborative, high-performing international engineering culture with consistent standards and shared technical direction. What We're Looking For You will be an established engineering leader with the technical credibility to challenge architectural decisions, contribute to complex engineering discussions and lead experienced technical teams. Ideally, you will bring: 10 years' software engineering experience, including substantial leadership responsibility and experience scaling globally distributed teams.

A track record of building engineering functions within ambitious, early-stage or scaling B2B technology businesses serving enterprise customers. Experience developing large-scale cyber security platforms, particularly systems processing millions of internet-facing assets. Background in internet-wide scanning, vulnerability intelligence, threat data pipelines or automated security testing platforms. Strong understanding of offensive security, adversary tactics, techniques and procedures (TTPs), and the development of security tooling.

Experience leading teams across multiple international locations, including recruitment, performance management, mentoring and succession planning. Strong technical foundations in Python and/or Golang Experience architecting distributed systems, microservices and high-volume data processing pipelines. Ability to provide hands-on technical direction, contribute to system architecture, review code and resolve complex engineering problems. Familiarity with AI and LLM-powered applications, particularly vulnerability research, exploit analysis,…
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