Future Tech Jobs
Future Tech Jobs
Design and optimize compiler software for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU Toolchain. Contribute to next-generation CPU architecture development and compiler infrastructure improvements.
Design and optimize compiler software for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with distributed teams and upstream open-source communities to enhance the GNU Toolchain and influence next-generation CPU microarchitecture. Work at the forefront of compiler innovation in a systems software context.
This role involves leading bioanalytical strategy for AI-designed drug candidates across small molecules, biologics, and ADCs, from discovery through preclinical development. The Bioanalytical Lead will design and validate PK, PD, and immunogenicity assays, manage global CROs, ensure regulatory compliance for IND submissions, and integrate wet-lab data back into AI models to improve predictive accuracy. A key focus is bridging computational discovery with experimental validation in a fast-paced, interdisciplinary environment.
This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting machine learning artifacts, and implementing security controls across AI infrastructure. The engineer will lead incident response for AI-specific threats, enforce compliance with global regulations, and develop safety protocols for autonomous agentic workflows and large language models within a high-stakes scientific environment.
Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.
Design a unified, enterprise-grade AI platform focused on decision intelligence and AI agents, particularly in healthcare and life sciences. Pioneer new interaction models for generative AI and agentic workflows, ensuring human-in-the-loop control, transparency, and trust in high-stakes environments. Build scalable design systems and elevate design culture through mentorship and cross-functional collaboration.
This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. You'll work across the full ML lifecycle, design scalable software architectures, and collaborate with cross-functional teams to deliver impactful AI solutions. The position emphasizes technical leadership, cloud infrastructure, and best practices in ML deployment.
Leads AI transformation programmes for professional services firms, shaping go-to-market strategy and building C-suite relationships. Guides multidisciplinary teams in delivering production-grade AI solutions that automate complex knowledge work and drive operational efficiency. Combines deep technical understanding with commercial acumen to grow Faculty’s practice in a regulated, high-impact sector.
This role involves driving digital transformation by identifying automation opportunities, building internal software tools, and implementing AI solutions to improve business efficiency. The candidate will work closely with management to develop data-driven insights, streamline processes, and prototype innovative technologies. It's a hands-on position offering direct impact on how the organisation adopts emerging tech like AI and low-code platforms.
Lead and conduct incident response engagements for high-profile cybersecurity breaches, performing forensic analysis across Windows, Mac, and Linux systems. Develop detection methods, analyze network and host data, and produce detailed reports for stakeholders including legal teams and executives. Contribute to thought leadership through public speaking and technical publications.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
A research-focused role advancing large language model development through architecture innovation, optimization, and scaling. The position involves designing and evaluating novel model architectures, debugging training regressions, and improving both model and computational performance. Work is integrated within a hybrid (3 days in-office) setup in London, contributing to core training infrastructure and flagship AI systems.
Conducts advanced vulnerability research and exploit development, analyzing patches and malware to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and supports threat intelligence teams with technical insights. Publishes findings internally and externally through blogs or conferences.
This role focuses on managing pilot projects and onboarding for new enterprise clients using Synthesia’s AI video platform. The individual will design proof-of-value initiatives, lead cross-functional coordination, and refine methodologies to drive client adoption and satisfaction. It involves strategic engagement, performance tracking, and translating client needs into effective service delivery.
Lead the Product Engineering group within AI Engineering, defining technical vision and strategy to deliver production-level autonomous vehicle capabilities using advanced AI models. Drive data-centric approaches and eval-driven development to meet KPIs across multiple OEM partnerships. Build and mentor engineering teams focused on Driving, ADAS, Parking, and HMI systems while establishing robust ML practices and scalable data pipelines.
