

The role involves building a mature machine learning research and deployment pipeline by developing greenfield solutions to complex ML interdependency requirements. The engineer will design scalable systems, improve ML operations, and establish best practices across quantitative research.
The Analytics Services Platform Engineer will design, build, and operate large-scale distributed analytics platforms supporting research, trading, and engineering teams. They will work collaboratively to deliver secure, scalable, and high-performance services across on-premises and AWS environments.
The Software Engineer will work within the Workspace Engineering team to develop remote development capabilities hosted in Kubernetes, providing engineers with high-performance Linux environments. The role involves building stable solutions, improving platform security, and collaborating closely with users to enhance their workflows.
The DevSecOps Engineer will support engineers by designing, implementing, and operating security services and secure software platforms, ensuring security is integrated seamlessly without compromising efficiency. The role involves troubleshooting operational issues and proactively improving infrastructure and security practices.
G-Research is seeking a Design Verification Engineer with extensive FPGA and ASIC design experience to join their Software Engineering team. The role involves providing technical expertise on formal verification tools, developing test bench environments, and supporting high-impact research platforms.
The Machine Learning Recruiter will connect G-Research with top AI and machine learning talent globally, leading end-to-end recruitment for high-impact roles. The role involves partnering with research leaders, engaging outstanding candidates, and representing G-Research’s collaborative environment.
The Storage Engineering Manager will lead the design, optimisation, and strategic roadmap of high-performance storage platforms, ensuring they meet the demands of quantitative research. This hands-on leadership role involves managing engineering teams, collaborating with researchers and vendors, and driving automation and operational excellence.
The Delivery Lead will oversee the delivery function for one of G-Research's business streams, managing software delivery, change programs, and engineering best practices. The role requires strong leadership and technical skills to drive strategic direction and operational effectiveness.
The IAM Full Stack Software Engineer will design and implement secure, scalable authentication and user lifecycle management solutions. The role involves building frontend React applications, backend services, and maintaining CI/CD pipelines, while collaborating with stakeholders across the firm.
The Head of Research and Trading Platform Architecture leads the architecture team to shape the technical foundations of quant workflows and trading platforms. This role partners with engineering and research leaders to drive innovation, ensure architectural consistency, and influence the firm's long-term technology strategy.
The Machine Learning Engineer will work within the ML and HPC Architecture team to develop and optimize machine learning platforms and tools, collaborating across internal teams and external partners. This role involves evaluating cutting-edge ML technologies and hardware to support high-impact research.