Top Tech Jobs & Startup Jobs

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

Design and deliver bespoke data science solutions, scope technical feasibility, build scalable algorithms and software, advise clients, set technical standards for project teams, and contribute to thought leadership and delivery of high-impact AI projects.

Lead end-to-end recruitment for individual contributor and leadership roles across Applied AI and central functions. Source passive and diverse candidates, advise hiring managers, manage inclusive hiring processes, and build talent pipelines. Drive employer branding, early careers, candidate experience, and DE&I initiatives while using market insights and data to improve hiring workflows and represent Faculty externally.

Lead architecture and full-stack development of AI-powered platforms, build scalable frontend and backend systems, mentor engineers, translate client problems into production-ready solutions, and ensure high code quality and reliable deployments.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

Design, build and scale full-stack AI-powered systems. Own frontend and backend architectures, lead cross-functional teams, mentor junior engineers, provide technical authority, and collaborate with clients on architecture and deployment.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

Design, build and deploy production-grade ML systems for retail and consumer clients. Lead technical scoping, architecture and best practices, collaborate with data scientists and engineers, operationalise models, and advise customers to deliver scalable, secure ML solutions that drive business outcomes.