Skip to main content[SKIP]Founding EngineerLondonThe Founding Engineer will be a senior member of the founding engineering team, responsible for designing and building the core machine learning and security systems that power our platform.This role involves hands-on technical work across the full stack of our product, from data ingestion and real-time inference pipelines to anomaly detection models and customer-facing integrations.Specific ResponsibilitiesBehavioural Analysis Models: Design and implement machine learning models that analyse AI agent activity in real time, identifying patterns of normal and anomalous behaviour across customer deployments.Anomaly Detection Systems: Build and refine detection systems that identify security threats, policy violations, and unexpected behaviours in autonomous AI systems, with a focus on minimising false positives in production environments.Inference Pipeline Development: Architect and optimise low-latency inference pipelines capable of processing high volumes of event data from customer AI agents, ensuring sub-second response times for security alerts.Platform Integration: Collaborate with the CTO and other engineers to integrate ML components into the core security platform, ensuring seamless operation with monitoring dashboards, alerting systems, and compliance reporting tools.Customer Technical Engagement: Work directly with enterprise customers and design partners to understand their security requirements, translating business needs into technical specifications and implementation plans.Architecture and Technical Leadership: Contribute to architectural decisions as a senior member of the founding team, helping to establish technical standards, development practices, and infrastructure choices that will scale with the business.Compliance and Security Requirements: Ensure all systems meet the security and compliance standards required by customers in regulated industries, including data handling, audit logging, and access controls.Technical EnvironmentLanguages: Python (primary), with potential use of Go or Rust for performance-critical componentsML Frameworks: PyTorch, TensorFlowInfrastructure: AWS/GCP, containerised deployments (Docker, Kubernetes)Data Processing: Real-time streaming architectures, time-series databasesSecurity: Familiarity with threat modelling, secure development practices, and compliance frameworksRequired Qualifications and ExperienceDegree in Computer Science, Machine Learning, or a related field (or equivalent practical experience)Minimum 5 years of experience designing and building production machine learning systemsStrong proficiency in Python and modern ML frameworks (PyTorch or TensorFlow)Experience with real-time inference systems and low-latency data pipelinesDemonstrated ability to work autonomously and take ownership of complex technical problemsDesirable ExperienceUnderstanding of security concepts and threat modellingExperience with distributed systems and cloud infrastructure (AWS/GCP)Familiarity with AI agent architectures and autonomous systemsPrior experience in a startup or early-stage company environmentSkillsetTypeFull TimeLocationLondonSalary£100,000 - £145,000LevelSeniorDeployment VelocityFlow StateBug SmellingApply NowInventoryMechanical Keyboard+40 Type SpeedBig-Hit Bug Swatter+20 Sharp EyeThe Infinite Scroll Scroll+10 VisibilityDeep Thinking Trait-40 WafflingSign Up for Updates
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