Head of AI
Accountabilities Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows and continuously improving model quality.
Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
Own fine-tuning pipelines, model selection, routing strategies, context engineering, and inference optimization using production data.
Guide technical priorities across a high-performing AI engineering team, evaluating new research, frameworks, and methodologies based on business value and technical feasibility.
Lead by example through active software development, architecture decisions, technical mentoring, code reviews, and collaborative problem-solving.
Partner closely with engineering leadership, product teams, and customers to align AI capabilities with business needs and real-world security challenges.
Continuously improve AI performance, scalability, cost efficiency, and production reliability while establishing long-term technical standards.
Requirements
Proven experience leading AI initiatives while remaining deeply involved in hands-on software development and technical execution.
Demonstrated success designing, deploying, and maintaining production-grade LLM or agentic AI systems used by real customers.
Deep understanding of transformer architectures, fine-tuning techniques (including approaches such as LoRA), inference optimization, and modern generative AI methodologies.
Strong experience building evaluation frameworks for autonomous or non-deterministic AI systems, including trajectory analysis, benchmarking, and model assessment.
Excellent programming skills with experience developing scalable machine learning systems in production environments.
Experience working within fast-paced startup environments, driving projects from concept to deployment with minimal oversight.
Strong technical leadership skills, including mentoring engineers, establishing engineering standards, and influencing cross-functional technical decisions.
Outstanding analytical thinking, problem-solving abilities, and the capacity to make pragmatic decisions balancing innovation, performance, and operational cost.
Excellent written and verbal communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
Experience in cybersecurity, vulnerability management, offensive security, or AI-powered security platforms is highly desirable.
Experience optimizing model routing, inference costs, RLHF, or AI evaluation pipelines, along with advanced academic research in machine learning, is considered a strong advantage.
Benefits
Competitive annual salary ranging from £180,000 to £250,000 .
Equity package ranging from 0.2% to 0.5% , offering significant long-term ownership potential.
Fully remote role with flexibility to work across Europe while based in the United Kingdom.
Opportunity to shape the AI strategy of a rapidly growing, venture-backed technology company.
Direct influence on product direction as part of the engineering leadership team.
Work alongside experienced engineering leaders with backgrounds in globally recognized technology companies.
Opportunity to tackle some of the most advanced challenges in generative AI, autonomous agents, and cybersecurity.
Strong career growth potential with a pathway toward executive AI leadership as the organization expands.
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