Future Tech Jobs
Future Tech Jobs
As a Senior HPC and AI Network Software Architect, you will focus on building scalable AI infrastructure, optimizing distributed training and inference, and enhancing communication efficiency across large systems. You will collaborate with AI framework teams and internal platform teams to integrate and improve performance, while also contributing to hardware and system-level innovations.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI, contributing to open-source projects, and conducting original research.
You will play a key role in building and operating the inference platform, connecting deep expertise in distributed systems programming with hands-on knowledge of Kubernetes-based platforms. Your responsibilities will include developing and maintaining the platform, supporting users, and improving CI/CD processes, all while serving cutting-edge machine learning models for scientific applications.
You will work on a groundbreaking platform that transforms the biopharmaceutical world, partnering with engineers, scientists, and ML researchers to build cloud infrastructure and software foundations. The role involves designing, operating, and refining cloud infrastructure, developing tools, and making core technical decisions in a fast-paced, interdisciplinary team.
This role involves developing and maintaining machine learning models to solve business problems in underwriting, exploring new data types, and generating insights. You will work closely with business partners, using advanced feature engineering and statistical techniques to drive innovation and growth.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, with a focus on data quality, reliability, and performance.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, ensuring data quality and performance.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work closely with business partners, focusing on feature engineering, data analysis, and statistical test design to drive innovation and growth in the financial services market.
As a Data & Machine Learning Engineer, you will build and maintain scalable data pipelines, develop and deploy machine learning models, and work with cloud-based data platforms. You will collaborate with engineers, analysts, and stakeholders to deliver end-to-end solutions, focusing on good engineering practices and continuous improvement.
This role involves designing and developing customer-focused data science solutions, taking models from problem definition to deployment and monitoring. You will work closely with stakeholders to translate business questions into robust modelling approaches and partner with engineers and analysts to productionise models.
This role involves using data science and analytics to drive commercial value across various business areas, including pricing, partnerships, and customer insights. You will work closely with stakeholders, explore large datasets, and develop data products and insights using tools like Python, SQL, and Azure cloud platforms.
