Future Tech Jobs
Future Tech Jobs
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking and operational tasks.
As a Technical Product Manager for Wayve's L4 autonomous driving solutions, you will lead the development and deployment of cutting-edge AV features. You will work closely with cross-functional teams to translate embodied AI and end-to-end learning into market-ready products, ensuring safety and user satisfaction.
This role involves leading the enterprise data architecture for a global consultancy in the insurance sector, focusing on data platforms, data products, and AI capabilities. You will work closely with senior stakeholders, define data governance, and provide deep technical leadership across various insurance domains.
This role involves building globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang and Python. You will work on backend microservices, leverage existing CrowdStrike tools, and collaborate with multiple teams to detect targeted attacks and improve system quality.
The Red Team TechOps Engineer will support Red Team activities by maintaining and managing the technology stack, ensuring infrastructure compliance, and proactively identifying improvements. The role involves administering Windows and Linux systems, scripting in Python and Bash, and working with cloud services like AWS and Azure.
This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
As a Talent Coordinator at Wayve, you will manage high-volume interview scheduling, ensure a positive candidate experience, and support hiring operations. This role involves coordinating across multiple calendars, communicating with various stakeholders, and occasionally handling administrative tasks. The position is based in London with a requirement to be in the office 2-3 days per week.
This role involves developing robust software applications using Python and C++ on Linux-based systems. You'll work closely with data scientists and product specialists to design, develop, and deploy innovative solutions in safety, security, and critical infrastructure environments, with a focus on machine learning and engineering best practices.
As an MLOps Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. Your key responsibilities include implementing model monitoring, building robust ML pipelines, and ensuring compliance with data governance and security standards.
This role involves leading business development efforts to secure and scale strategic pharma partnerships. Responsibilities include researching target organizations, reaching decision-makers, driving negotiations, and developing scalable deal structures that balance value and risk. The role also focuses on building a repeatable sales process and representing the company at industry events.
As a Lead Data Scientist, you will design, develop, and deploy advanced AI systems, particularly focusing on Generative AI and Large Language Models (LLMs). You will work with complex datasets, emerging technologies, and collaborate with engineering and technical leadership to create scalable, production-ready solutions in a highly secure environment.
This role involves designing and developing software to solve complex Workload Identity challenges, working closely with a team to lead, mentor, and collaborate on projects that touch on networking, security, cloud, and Kubernetes. The position offers significant growth potential and requires a high level of adaptability and technical expertise.
