Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
The Change and FS Digital Assurance Lead is a specialist role within Group Internal Audit (GIA), responsible for leading and delivering independent assurance across strategic change initiatives, digital transformation programmes, emerging technologies and technology-enabled services across the Group, including Financial...
As a Senior Frontend Software Engineer, you will build and evolve a frontend platform that supports complex simulation and ML workflows, including 3D visualizations and data-heavy interfaces. You will design composable frontend architectures, optimize performance, and mentor junior engineers while driving technical standards and best practices.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will work with non-traditional datasets, build sophisticated neural networks, and collaborate with business stakeholders to drive initiatives from prototypes to production. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from R&D to production. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating closely with business partners to drive innovation and growth.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth in the financial services market.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and modern ML frameworks to extract actionable insights from complex data.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will collaborate with business stakeholders to prioritize initiatives, transform raw data into predictive features, and drive projects from prototypes to production. The team focuses on using modern frameworks like PyTorch and TensorFlow to solve complex business problems.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth.
This role involves leading the development and deployment of advanced deep learning models to enhance credit underwriting systems at Capital One. The candidate will work with non-traditional and multi-modal data, building neural networks such as LSTMs, RNNs, and Transformers to improve predictive accuracy. They will bridge research and production by collaborating with stakeholders and guiding models from prototype to market impact.
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 leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive impactful projects. The position requires strong experience in deep learning, model development, and working with large datasets.
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.
Work on designing, scaling, and optimising Pega-based Next Best Action decisioning frameworks in the financial services sector. Develop and govern real-time, AI-driven customer decision strategies across multiple markets, integrating with data platforms and ensuring regulatory compliance. Collaborate in cross-functional Agile teams to deliver personalised customer experiences through omni-channel decisioning.
