Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, memory management, and multi-GPU scaling. You will work closely with customers, partners, and internal teams to deliver significant performance improvements and develop reference implementations.
As a Client Director for Global System Integrators (GSI) at NVIDIA, you will manage and evolve the business relationship with key GSIs in EMEA, focusing on AI-enabled services. You will work closely with GSI leadership, NVIDIA Solution Architects, and Sales teams to define strategies, run PoCs, and execute joint GTM plans.
This role involves conducting research and implementing solutions in areas like model architecture, algorithms, and data processing for large language models. You will lead small projects, collaborate on larger initiatives, and optimize training infrastructure to ensure AI systems are safe, steerable, and trustworthy.
As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.
Develops advanced predictive models and data assets to enhance insurance pricing strategies, focusing on risk assessment, claims prediction, and fraud detection. Works within a collaborative analytics team to innovate pricing algorithms using machine learning and new data sources in a dynamic, tech-driven environment.
This role involves developing advanced software solutions in AI, autonomy, and machine learning for national security and defence applications. You will work across the full software development lifecycle, contributing to research-driven projects that transition from concept to operational platforms. The role emphasizes secure, high-quality software development using Python, Java, and cloud technologies within Agile and DevOps environments.
This role involves building and deploying machine learning models in secure, data-rich environments, contributing to national-level outcomes. You will work with large datasets, develop AI-driven capabilities, and collaborate with a multidisciplinary team to support mission-critical systems.
As a Generative AI Director, you will lead the design and delivery of production-grade LLM systems, enabling automation and efficiency across JP Morgan. You will collaborate with ML Engineering, Product Management, and Cloud Engineering to build reliable, secure, and impactful AI solutions.
This role involves designing, developing, and maintaining real-time trading applications and data pipelines for the European Intraday Power desk. You will work closely with the front office to build tools that enable efficient strategy testing and execution in fast-moving energy markets, leveraging Python, SQL, and cloud-native architectures.
This role involves leading the development of AI-powered systems for brand safety and content classification at Amazon Ads. You will build real-time, adaptive models to detect and mitigate risks from AI-generated and synthetic content, ensuring high-quality advertising inventory and advertiser trust across various platforms.
This role involves developing and applying computational methods to model DNA sequences, regulatory elements, and genetic variations in disease-relevant contexts. You will work closely with experimental and machine learning researchers to validate hypotheses and support target prioritisation, contributing to groundbreaking drug discovery efforts.
As a Senior Software Engineer on the Core Services team, you will design and build robust authentication, authorization, and access control systems for a multi-tenant AI-driven simulation platform. Your work will focus on creating secure, fine-grained permissions, identity management, and observability infrastructure to support regulated industries and enable secure collaboration among data scientists and simulation engineers.
This role involves leading the technical and commercial strategy for complex embedded systems projects, acting as a trusted advisor to clients and ensuring that the technical direction aligns with business goals. The position requires deep expertise in embedded software and electronics, with a focus on innovation and commercialization of cutting-edge technologies.
