As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. You'll co-develop models that enhance memory, task horizon, and general intelligence in vision-language models, with a strong emphasis on open-sourcing code and publishing high-impact research. The position is embedded in NVIDIA's AI research team in Zurich, focusing on long-term breakthroughs in AI.
Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing models with enhanced memory and task capabilities, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a leading AI research team focused on long-term breakthroughs in intelligent machines.
This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and development, contributing to the creation of safe and efficient autonomous vehicles.
A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.
A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.
Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.
Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.
This role involves curating and analyzing high-content imaging datasets such as cell painting and brightfield assays to build generative and predictive models of cellular behaviour. The Senior Data Scientist will work closely with wet lab teams to ensure data quality, evaluate deep learning models, and integrate imaging data with multi-omic readouts. The position emphasizes interdisciplinary collaboration, model interpretability, and translating biological insights into therapeutic strategies.
This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.
This role involves leading research and development of generative AI systems for cybersecurity applications, focusing on large language models and deep learning. The candidate will architect AI strategies, build production-grade systems at massive scale, and guide technical innovation across the organization. They will also mentor teams and contribute to thought leadership through publications and cross-functional collaboration.
This role involves leading research strategy and technical innovation in generative AI for cybersecurity, focusing on applying large language models and deep learning to detect and prevent breaches. The senior data scientist will architect production-grade AI systems at scale, mentor teams, and shape AI strategy through cross-functional collaboration. Work includes implementing cutting-edge AI research, optimizing GPU usage, and establishing evaluation frameworks within an AI-first security platform.
The Program Manager will lead the design, development, and implementation of advanced Agentic AI systems, collaborating with cross-functional teams to deliver innovative solutions. Responsibilities include conducting research, optimizing models, mentoring junior engineers, and staying updated with the latest AI trends.
Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.
Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.
This role involves leading and scaling a team of AI/ML professionals, developing executive relationships with EMEA customers, and driving strategic initiatives. The role requires deep technical expertise in ML, GenAI, and data science, as well as experience in managing and growing high-performing teams.
