Future Tech Jobs
Future Tech Jobs
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
This role involves designing and building platform systems that support scientific computing and complex engineering simulations. You'll work closely with engineers and scientists to develop robust, scalable services with a strong focus on code quality, system coordination, and failure handling. The platform leverages modern software practices, containerization, and infrastructure as code in a hybrid cloud/HPC environment.
This role involves designing, developing, and implementing AI-powered applications to modernize financial operations and improve customer experiences. You will work across the full software development lifecycle, integrating AI models, and collaborating with product, engineering, and business teams to deliver scalable solutions.
This role involves applying advanced data science and machine learning techniques to solve complex challenges across high-impact public and private sector projects. You will conduct research, develop cutting-edge solutions, and engage in the full data science lifecycle, from data collection to model deployment, while working in a highly secure environment.
This role involves developing and deploying AI-powered features in a regulated healthcare environment, focusing on translating clinical and product requirements into secure, production-ready systems. The engineer will work across the full development lifecycle, integrating large language models and machine learning components into backend services while ensuring safety, reliability, and compliance. Collaboration with clinical and product teams is central to building measurable, patient-facing AI solutions.
As a Security Engineer, you will work within the Cyber Security team to integrate security into CI/CD pipelines, infrastructure-as-code workflows, and developer tooling. Your responsibilities will include designing and maintaining security tooling, automating vulnerability scanning, and securing AWS environments using native security services.
This role involves building and maintaining a Snowflake-based data platform, designing ELT/ETL pipelines using dbt and Python, and ensuring data quality through governance and security standards. The engineer will collaborate with analysts and business teams to deliver clean, structured data for reporting and support future AI/ML initiatives. Key responsibilities include optimising Snowflake performance, implementing monitoring and cost controls, and contributing to data engineering best practices.
This role involves designing and maintaining management services for Linux-based edge devices and PLC systems, automating deployments across global sites using Python, C#, and AWS IoT. The engineer will integrate cloud platforms with physical automation infrastructure, ensuring scalability, observability, and reliability of robotic retail solutions through CI/CD pipelines and cloud innovation.
As a Performance Analyst, you will work closely with product teams to develop and maintain insightful dashboards using Power BI and Adobe Analytics. Your role involves defining reporting requirements, delivering ad hoc analysis, and ensuring data quality and governance to enhance digital healthcare services used by millions.
This role involves developing and integrating high-performance ML runtimes for Fractile's novel AI accelerator hardware, focusing on inference server integrations with open-source frameworks like PyTorch, vLLM, and SGLang. Engineers will work closely with hardware and ML teams using a co-design approach to optimise performance. The position emphasizes low-level runtime development in Rust and deep collaboration across software and hardware layers.
This role involves developing and integrating a high-performance Rust-based runtime for AI accelerators, focusing on inference server compatibility with open-source ML frameworks like PyTorch, vLLM, and SGLang. The engineer will work closely with hardware and ML teams using a co-design approach to optimize performance for large language models. Collaboration and ownership in a fast-paced, innovative environment are key aspects of the position.
Design and scale batch and real-time data pipelines in Google Cloud, ensuring robust data quality and system observability. Collaborate with data scientists and engineers to support MLOps and modern data infrastructure. Work across a full-stack cloud environment with cutting-edge tooling and high engineering standards.
This role involves developing and deploying AI applications, analyzing model performance, and working with multicore techniques. You will be part of a team focused on AI acceleration, using frameworks like PyTorch and TensorFlow, and tackling complex problems in AI model deployment and optimization.
Lead the development of advanced autonomy systems for unmanned vehicles, designing and implementing algorithms for path planning, obstacle avoidance, and mission execution. Work across the full development lifecycle from R&D to production deployment in a multidisciplinary team, using C++, Python, ROS2, and Linux-based systems. Provide technical mentorship and shape the core intelligence of autonomous systems in real-world maritime environments.
