Future Tech Jobs
Future Tech Jobs
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.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
This role involves developing and improving the core speech and voice generation systems within Synthesia's AI video platform. The engineer will work across backend and frontend layers to build reliable, scalable features for script preview, voice orchestration, and voice quality, integrating multiple Text-to-Speech providers and building recommendation systems. The position emphasizes ownership of end-to-end feature development, rapid iteration, and close collaboration with product, design, and AI teams.
Lead the Diagnose & Prescribe (D&P) engineering team responsible for assessing skill gaps, prescribing learning paths, and onboarding learners within an AI-native, event-driven system. You'll own technical direction, team health, and delivery across services with real financial and regulatory impact, while driving AI-native development practices and collaborating closely with Product, Design, and go-to-market teams.
This role involves delivering technical AI and machine learning curriculum through workshops and mentoring, supporting apprentices in developing practical skills aligned with industry needs. The lead will facilitate sessions on topics including data ethics, model deployment, and responsible AI, while contributing to continuous improvement of learning products. A strong emphasis is placed on creating an inclusive, engaging learning environment and guiding apprentices through complex technical concepts in real-world business contexts.
This role involves leading a team of data scientists focused on advancing machine learning systems for cybersecurity, particularly in threat detection and agentic AI. The manager will guide projects from research to production, leveraging vast behavioral and malware datasets to develop advanced models. Collaboration with security experts and cross-functional teams is key to delivering AI-driven security innovations.
Leads technical strategy and R&D in AI safety, building high-impact red teaming, evaluation, and mitigation systems for frontier AI models. Directs a world-class research team, drives scientific publications, and shapes global safety standards in collaboration with leading labs and governments. Focuses on alignment, robustness, and societal risk mitigation in large language models.
As a Senior Security Engineer, you will play a crucial role in architecting and managing the security of Isomorphic Labs' AI-based platform and HPC infrastructure. You will work closely with DevOps, SRE, and other teams to ensure robust security practices, including threat modeling, incident response, and compliance automation.
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.
The Applied AI Engineer will design and maintain data pipelines, warehouses, and lakes while developing scalable AI and machine learning solutions across Barclays. This role involves close collaboration with data scientists, implementing MLOps/LLMOps practices, and ensuring solutions are secure, reliable, and aligned with enterprise governance. The engineer will work on cutting-edge applications including GenAI and LLMs, supporting responsible AI adoption in a fintech environment.
This role involves designing and maintaining data architectures, pipelines, and governance frameworks to support responsible AI adoption at scale within Barclays. The engineer will translate regulatory and risk requirements into technical implementations, working closely with data scientists and engineering teams to ensure secure, auditable AI systems. Emphasis is placed on policy-as-code, MLOps, and enterprise-wide governance integration across hybrid cloud environments.
This role involves leading a team of elite engineers who embed with Fortune 500 customers to develop and deploy production-ready AI systems. Responsibilities include owning end-to-end delivery, technical oversight, team growth, and translating customer needs into technical roadmaps.
