Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
This role involves developing and automating system-level test frameworks for embedded software in autonomous vehicle systems, with a focus on Hardware-in-the-Loop (HiL) testing, fault injection, and CI/CD integration. The engineer will lead root cause analysis, improve test coverage, and ensure compliance with automotive safety standards. The position is based in London with a hybrid working model, balancing office collaboration and remote flexibility.
Design and develop embedded software, SDKs, and hardware abstraction layers to enable autonomous driving systems to run consistently across diverse automotive platforms. Integrate core AV functions like inference, control, and localisation while minimising platform-specific customisation. Work across Linux and QNX systems, collaborating with hardware partners and cross-functional teams to ensure robust, scalable, and maintainable embedded solutions.
A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.
As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building multi-physics models, automating simulation pipelines, and collaborating with customers to integrate AI-driven solutions, while traveling globally to support on-site projects.
This role involves leading the development and deployment of production-grade machine learning systems, with a focus on fine-tuning large language models and building scalable inference infrastructure. The engineer will own the full ML lifecycle, from data pipelines to deployment, while mentoring teams and integrating AI solutions into products. The position bridges research and engineering in a remote-first, technically driven environment.
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
Design and implement scalable, production-grade machine learning systems from concept to deployment, translating research into robust real-world solutions. Own the full ML lifecycle including data, training, deployment, and optimisation within a small, high-performing technical team. Focus on performance, reliability, and low-latency inference using modern ML infrastructure and GPU acceleration.
Lead Machine Learning Engineer to define technical direction for AI projects in retail, designing scalable ML systems and mentoring engineering teams. Focus on innovation, architectural integrity, and delivery of reusable solutions across high-impact client engagements.
As a Systems Engineer, you will work on the G1X radar, a cutting-edge software-defined radar, supporting bid activities, requirements management, radar performance analysis, algorithm development, and system design. You will collaborate with a team of experts, travel within the UK and abroad, and contribute to the continuous improvement and growth of radar and sensor systems.
Lead a full-stack engineering team building a modern, AI-driven platform for real-time customer data science in retail. Focus on scalable cloud-native systems using .NET, Python, React, and Terraform, with strong emphasis on code quality, CI/CD, and cross-team collaboration. Drive technical direction while mentoring engineers and shaping platform architecture across GCP and Azure.
Work on state-of-the-art automation systems in a 24/7 Customer Fulfilment Centre, resolving critical technical issues and driving proactive maintenance and improvements. Focus on conveyor networks, lifts, cranes, and robotics within a high-performance grocery logistics environment. Emphasis on safety, technical excellence, and operational reliability in a fast-paced setting.
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
Lead the design and implementation of a greenfield data platform for an AI-driven property management system. Build scalable batch and real-time data pipelines using Kafka or Kinesis, support machine learning infrastructure, and establish data quality and observability practices in close collaboration with AI and product teams.
