Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
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.
As a Senior Program Manager, you will support the GDI and Onum teams within the NG-SIEM product, focusing on data ingestion and onboarding experiences. You will manage large-scale projects, collaborate with engineering leaders and product managers, and ensure timely delivery and issue resolution across multiple regions.
As a Senior Frontend Engineer on the Counter Adversary Operations team, you will build globally distributed, robust, and customer-centric solutions using Ember.js. You will work closely with UX Engineers, Cloud Engineers, UX Designers, and other stakeholders to deliver high-quality user experiences that protect systems from sophisticated adversaries. The role involves hands-on engineering, technical decision-making, and continuous learning in a dynamic and collaborative environment.
This role involves leading the development of geospatial and movement intelligence products, owning the technical direction and roadmap for critical data product areas. You will work closely with engineering, product, and data science teams to build scalable datasets and production-grade models that improve operational efficiency and influence business performance.
As a Senior AI Platform Engineer, you will design and build agentic AI workflows that integrate into an existing product platform, enabling intelligent design changes across tools and documentation. You will work closely with product, design, and engineering teams to embed AI capabilities and make architectural decisions around cloud infrastructure and cost optimization.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and implementing MLOps practices. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves working with clients to design and deliver complex business and technical solutions, driving digital transformation and innovation. You will lead the creation of key architecture artefacts, support senior leaders in shaping change, and collaborate closely with engineering teams to ensure successful project delivery.
This role involves designing and implementing AI-driven solutions to address complex business challenges in a financial setting. You will collaborate with cross-functional teams, research and apply advanced machine learning algorithms, and develop scalable AI models to drive data-driven decision-making.
This role involves designing and building robust, scalable data pipelines for a complex project in the Financial Services domain. You will work with large, multi-source datasets, collaborate with the team to define data flows, and ensure data reliability and scalability.
This role involves managing large-scale AWS and Azure cloud environments, focusing on automation, security, and operational excellence. Key responsibilities include leading disaster recovery efforts, automating infrastructure with Terraform and PowerShell, and collaborating with security teams to ensure compliance.
This role involves building and deploying production-grade deep learning models for computer vision tasks, working closely with a multidisciplinary team to develop and maintain CV/ML pipelines. The focus is on real-world applications, including cloud and edge deployments, dataset management, and staying current with emerging technologies.
This role involves collaborating with a cross-functional team to develop and implement AI-powered methods for condition monitoring and predictive maintenance of wind turbines. Responsibilities include signal processing, reliability engineering, building AI models, and creating intelligent dashboards to provide actionable insights for operators and asset managers.
This role involves leading and coordinating development teams across multiple platforms, owning end-to-end technology initiatives, and driving modern engineering practices. The focus is on delivering high-quality, scalable, and secure systems in a fast-paced, AI-driven environment within a leading insurance and reinsurance broker.
This role involves applying advanced machine learning and predictive modeling techniques to complex financial problems in a fast-paced, commercially driven environment. The team focuses on portfolio management, equities, and client behavior within a large-scale Prime business, requiring strong technical leadership and hands-on model deployment.
