Future Tech Jobs
Future Tech Jobs
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to remove bottlenecks, contributing to the development of physical AI for applications like autonomous vehicles and video analytics.
This role involves working on short to medium-term customer engagements to solve big data challenges using the Databricks platform. The engineer will design and implement data engineering and data science solutions, integrate with client systems, provide technical training, and support the deployment of data and AI applications. Collaboration with cross-functional teams and providing feedback to product development are key aspects of the role.
Develop and maintain C++ software for advanced imaging systems, focusing on high-speed data processing and hardware/software integration. Work within a multidisciplinary R&D team to build performance-critical backend applications and tools for scientific and industrial applications. Contribute to system architecture, debugging, and product development in a technically demanding environment.
As a Senior Software K8S Engineer at NVIDIA, you will design and implement new features to accelerate network and storage in the Kubernetes ecosystem. You will work closely with open source communities, participate in relevant working groups, and collaborate with various teams across NVIDIA to build high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
As a Senior Software K8S Engineer at NVIDIA, you will design and implement new features to accelerate network and storage in the Kubernetes ecosystem. You will work closely with open source communities, participate in relevant working groups, and collaborate with various teams across NVIDIA to build high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
This role involves designing and implementing new features to accelerate network and storage in the Kubernetes ecosystem, working closely with open source communities and various teams across NVIDIA. The position focuses on high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
As a Senior Software K8S Engineer, you will design and implement new features to accelerate Network and Storage in the Kubernetes ecosystem, working closely with open source communities and various teams across NVIDIA. Your role involves hands-on development, coordination across organizational boundaries, and a deep understanding of network protocols and containerization technologies.
As a Senior Software K8S Engineer, you will design and implement new features to accelerate network and storage in the Kubernetes ecosystem, working closely with open source communities and various NVIDIA teams. Your role involves hands-on development, system design, and collaboration across organizational boundaries.
If you are an experienced Azure Cloud Platform Engineer we have a new role we would like to discuss with you. Please note this is a hybrid role and will require 3-4 days per week onsite in Watford.We're looking for...
The Principal Engineer role involves leading the design and implementation of robust software solutions, mentoring junior and mid-level engineers, and contributing to strategic planning. The role also focuses on fostering technical excellence, cross-functional collaboration, and innovation within the organization.
This role involves building AI-driven features like personal assistants and chatbots, developing user-focused and backend solutions using deep learning, and collaborating with cross-functional teams to solve complex problems and drive innovation at Revolut.
This role involves building and maintaining large-scale machine learning systems for forecasting, recommendation, pricing, and decision-making. You will work on time-series forecasting, scalable ML systems, feature stores, and MLOps, with a focus on technical depth and leadership within a high-calibre AI team.
This role involves leading the design and implementation of secure, scalable automation solutions for enterprise platforms in a hybrid Azure-first environment. The engineer will develop Infrastructure as Code and CI/CD pipelines using Terraform, Bicep, and GitHub Actions, while acting as a subject matter expert and guiding technical standards. They will also mentor team members and collaborate with architects and stakeholders to improve system resilience and efficiency.
