Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Work closely with stakeholders to translate R&D into production solutions, using advanced neural networks like LSTMs, RNNs, and Transformers. Operate in a collaborative, innovation-driven environment with strong support for professional growth and technical excellence.
Lead the development and deployment of deep learning models to enhance underwriting systems using non-traditional and multi-modal data. Design and train neural networks such as LSTMs, RNNs, and Transformers, bridging research with production deployment. Collaborate with stakeholders to drive data science initiatives from prototype to impact, while mentoring junior team members and shaping technical direction.
Work on high-impact AI evaluation projects by designing domain-specific problems and datasets to assess advanced generative models. Collaborate with leading researchers and contribute to technical reports and publications in applied AI. Engage in flexible, interdisciplinary research with a global network of experts while using Python, Java, or other programming languages to improve model reasoning and performance.
This role involves a 4-month, full-time research fellowship focused on ML systems and performance, with mentorship from Anthropic researchers. Fellows will work on empirical projects using external infrastructure to build scalable ML systems, debug training processes, and support high-performance computing environments. The program emphasizes collaboration, rapid implementation, and producing public research outputs such as papers.
The role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.
A Senior Software Test Engineer will lead test strategy and automation across frontend, backend, and mobile products using microservices and machine learning. The role involves designing test frameworks, mentoring team members, and integrating quality practices into CI/CD pipelines. The engineer will work in a cross-functional team, combining automation with exploratory testing to ensure robust product quality.
A Senior Software Test Engineer will lead testing initiatives within a cross-functional product engineering team, focusing on frontend, backend, and mobile systems powered by microservices and machine learning. The role involves designing automated test frameworks, mentoring team members, and integrating quality practices into CI/CD pipelines using modern tools and cloud infrastructure. Emphasis is placed on test ownership, automation, and fostering a strong team-wide quality culture.
This role involves building applications that help engineers describe, generate, and refine designs using AI. You'll work across frontend, backend, and applied AI, translating user needs into structured workflows and ensuring reliable interactions with tools and backend services.
This role involves designing and implementing backend security guardrails for Generative AI workflows, building and deploying enterprise-level GenAI and ML solutions, and integrating user interfaces. The position also includes working with cloud infrastructure and maintaining production applications.
This role involves leading security initiatives across the software development lifecycle, with a focus on integrating security into CI/CD pipelines, conducting threat modeling, and guiding secure design practices. The engineer will work hands-on to automate vulnerability detection, mentor development teams in secure coding, and engage in customer-facing security reviews. It's a high-impact position shaping the security posture of an AI-driven simulation platform in a collaborative, mission-driven environment.
You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.
This role involves leading FPGA and system-on-chip design for advanced gimbal payload systems, including video processing, sensor interfaces, and real-time control. You will work closely with software, control, and mechanical engineering teams to develop in-house solutions from prototype to production.
This role involves supporting the configuration and maintenance of AWS infrastructure, building and maintaining CI/CD pipelines, automating deployment tasks, and ensuring the reliable operation of production systems. You will work closely with software and AI engineers to improve automation and deployment processes.
