Future Tech Jobs
Future Tech Jobs
This role involves researching and developing GPU-accelerated techniques for AI and high-performance computing workloads. You'll collaborate with experts in industry and academia to optimize complex algorithms on modern CPU and GPU architectures, while contributing to the design of future hardware and software platforms. The position emphasizes deep technical optimization, publication of findings, and engagement with the developer community.
Research and develop GPU-accelerated techniques for deep learning, machine learning, and AI workloads. Collaborate with technical experts in industry and academia to optimize complex AI and HPC algorithms on modern CPU and GPU architectures. Publish findings in developer blogs or conferences and influence next-generation hardware and software design at NVIDIA.
A Senior Forward Deployed Software Engineer at PhysicsX works directly with customers and internal teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers also contribute to the core platform by abstracting reusable components from customer solutions and shaping product direction.
This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The Principal Data Scientist will lead technical initiatives, design deep learning architectures, and integrate predictive models with simulation systems. They will work closely with cross-functional teams and customers to solve complex engineering challenges, mentor junior staff, and drive R&D innovation across global sites.
This role involves leading the technical strategy and architecture for detecting, containing, and remediating account compromise across Claude and its developer platform. The engineer will design real-time detection systems for account takeovers, credential abuse, and API key leaks, while balancing security with user experience. They will lead incident investigations, drive cross-team alignment, and build automated defences that operate under adversarial pressure, shaping Anthropic’s global approach to account security.
Design and build ultra-high-scale data platforms processing petabytes of data, using Java, Spark/Scala, and AWS to enable efficient querying and analytics for threat detection. Develop fault-tolerant microservices and distributed systems for internal and external customers. Work across the full data lifecycle from ingestion to query frameworks, improving performance and scalability.
This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.
This role involves working on high-impact national security and advanced technology programmes using cutting-edge tools like Palantir and AI/ML technologies. Engineers will tackle complex technical challenges in secure environments, with opportunities to work across the full stack from data engineering to software development. The position supports career progression from graduate to senior levels within a collaborative, multidisciplinary team.
Designs and develops backend PHP/Laravel systems for a SaaS platform that analyzes customer call data using AI. Owns complex features, optimizes database performance, and contributes to architectural decisions. Works across the full development lifecycle in a remote, collaborative engineering team.
Lead and build a new Data Replay & Recovery team to develop a self-service application for business continuity and platform resiliency within a high-scale security data lake. Design and operate large-scale data pipelines processing petabytes of data, enabling reliable data access for analytics, ML, and threat detection across the Falcon platform. Collaborate with Data Platform, ML, and DevOps teams in a distributed environment using modern big data technologies.
Lead the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming insights from data into strategic actions. Bridge commercial objectives with AI-driven analytics, driving adoption across functions and countries while ensuring intelligence is decision-ready and impactful. Work within a remote-first role with regular travel across Western Europe to align stakeholders and embed a unified intelligence capability.
Leads the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming diverse data into strategic insights. Bridges commercial objectives with AI-driven analytics to inform customer engagement, portfolio decisions, and regional strategy. Focuses on building a unified, enterprise-wide intelligence capability with strong cross-functional stakeholder engagement and governance.
This role involves providing hands-on IT support to employees in Lisbon and remotely to global offices, with a focus on Mac and Linux systems. The engineer will deploy and manage hardware, maintain office IT infrastructure, and contribute to system improvements through scripting and automation. As the first IT hire in Lisbon, the individual will play a key role in shaping local support processes while collaborating with a global team.
As a Full Stack Engineer at Thought Machine, you will work on end-to-end features across the stack, ensuring high standards of security, performance, and user experience. You will collaborate with cross-functional teams to deliver complex solutions for global financial institutions, taking ownership from design to implementation.
Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.
