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.
Lead the development and deployment of generative AI systems at scale within a cybersecurity context, focusing on LLMs and deep learning to enhance threat detection and response. Drive research strategy, mentor technical teams, and translate cutting-edge AI into production-grade solutions operating at planetary scale. Contribute to technical standards and represent the company through publications and thought leadership.
Develops high-fidelity electromagnetic simulations across low- and high-frequency domains, focusing on semiconductor, aerospace, and automotive applications. Builds and validates complex EM models, automates simulation workflows, and collaborates with data science teams to train AI surrogates. Works on-site with customers to solve engineering challenges using advanced simulation and AI-driven tools.
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.
Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime systems, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads. Collaborate with AI framework and platform teams to enhance end-to-end performance at scale.
Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and hardware-software co-design across GPU, DPU, and interconnect technologies. Develop and optimize libraries like NCCL, UCX, and UCC, and collaborate with AI framework and platform teams to enable high-performance, large-scale AI workloads. Drive innovation in system-level capabilities for next-generation AI infrastructure.
Lead a growing engineering team building the real-time runtime platform for an AI-driven autonomous driving system. Focus on system design, middleware, performance optimization, and observability to enable reliable, low-latency operation across diverse vehicle platforms. Collaborate closely with software, hardware, and OEM teams to scale the AI Driver to new embodiments.
Lead the design and implementation of AI-driven risk decisioning systems, focusing on fraud detection, credit risk, and financial crime. Develop scalable, cloud-native platforms using event-driven architectures and real-time processing, while mentoring engineering teams and shaping technical strategy. Work within a regulated environment to translate compliance and risk requirements into robust, production-grade solutions.
This role involves designing and building scalable data pipelines and distributed systems to support AI-driven operations, with a focus on real-time streaming, vector search, and data quality. The engineer will lead architecture decisions, collaborate with AI and backend teams, and shape the future of the data platform in a high-growth environment.
The Maintenance Engineer is responsible for performing electrical and mechanical maintenance, fault diagnosis, and repairs within a highly automated Customer Fulfillment Center. This role involves preventive and reactive maintenance, data analysis for performance improvements, and adherence to safety and quality standards. The position supports the operation of advanced robotics systems during both startup and steady-state phases.
The Maintenance Engineer ensures the reliable operation of automated systems within Ocado’s Customer Fulfillment Center by performing electrical and mechanical maintenance, diagnosing equipment faults, and executing repairs. The role involves preventive and reactive maintenance, data analysis for performance improvements, and adherence to safety and quality standards. The position supports a 24/7 operation and includes involvement in continuous improvement initiatives.
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.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
This role involves designing, building, and maintaining scalable analytics platforms and cloud infrastructure to support data science and MLOps teams. The engineer will work across the full software development lifecycle, troubleshooting issues, optimising performance, and delivering secure, high-performing solutions in a regulated defence environment. The position requires strong skills in Python, Kubernetes, and CI/CD, with exposure to MLOps, Spark, and graph databases a plus.
Design, build, and maintain foundational infrastructure, tooling, and automation for product teams to develop and deliver software efficiently. Focus on deploying and scaling global cloud applications using Kubernetes and cloud-native technologies, with strong emphasis on reliability, observability, security, and automation. Support development teams in optimizing cloud resource usage and transitioning applications to production.
