Future Tech Jobs
Future Tech Jobs
This role involves defining next-generation system architectures for NVIDIA's DPU and NIC technologies, focusing on cloud networking, security, virtualization, and orchestration. You'll lead end-to-end architectural design from hardware to application level, develop proof-of-concept prototypes, and collaborate with global teams and high-profile customers to shape future data center solutions.
Design and define next-generation system architectures for DPUs and NICs, spanning hardware to application layers with a focus on cloud networking, orchestration, and security. Lead architecture specifications and proof-of-concept development while collaborating globally with engineering and customer teams. Innovate across networking, virtualization, and SDN to shape the future of data center technologies.
Develops and leads the implementation of large-scale graph-based UI features for a cybersecurity platform, focusing on complex data visualization using tools like Keylines and D3.js. Collaborates with design, backend, and product teams to deliver scalable, ergonomic visual systems integrated with high-volume backend data. Mentors junior engineers and contributes to a collaborative engineering culture.
This role focuses on designing and implementing cross-domain detection strategies across endpoint, cloud, identity, and SaaS environments to ensure comprehensive threat coverage. The engineer will build high-fidelity correlation detections using behavioral reasoning and AI-assisted workflows, while coordinating with multiple teams to deploy multi-platform detection logic simultaneously. A key responsibility is improving platform-wide detection coherence by identifying telemetry gaps and driving technical standards across detection engineering.
Develop and advance AI-driven interactive avatars using diffusion models, focusing on real-time video generation, audio conditioning, and contextual responsiveness. Work within a research-forward team to translate cutting-edge generative AI into scalable product features. Responsibilities include improving lip-sync accuracy, motion realism, and building evaluation frameworks for long-form interactive video.
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...
Design and advise on data architectures for large financial institutions transitioning to production AI systems. Focus on building governed, real-time data platforms—lakehouses, feature stores, vector databases—that support agentic and generative AI workloads. Engage at the executive and technical level to align data modernisation with AI strategy, ensuring compliance, auditability, and scalability in highly regulated environments.
This role involves developing and enhancing iOS SDKs for secure document capture as part of Entrust’s identity verification platform. The engineer will focus on building high-quality, accessible camera and image processing features using Swift, while collaborating with cross-functional teams to deliver a seamless end-user experience. Work includes SDK development, on-device machine learning integration, and improving test automation and CI/CD pipelines.
Leads a cluster of four data science teams focused on logistics and fulfillment optimization, driving the deployment of machine learning and operations research models into production. Works at the intersection of algorithmic research and physical systems to improve routing, delivery estimates, forecasting, and warehouse operations. Emphasizes strong collaboration between data science and engineering to deliver scalable, real-world impact.
Design and manage cloud infrastructure for a cutting-edge AI-driven drug discovery platform, supporting research and production workloads on GCP. Work closely with scientists, ML researchers, and engineers to build scalable, secure, and automated systems using Kubernetes, Terraform, and modern DevOps practices. Operate in a hybrid environment with a focus on innovation and scientific impact.
This role involves leading the go-to-market strategy for Databricks' Financial Services business across EMEA, with a focus on Banking, Capital Markets, and Insurance sectors. The individual will shape vertical-specific sales strategies, build executive relationships with key clients and partners, and act as a thought leader through content and events. They will work cross-functionally to enable sales teams, develop scalable sales plays, and ensure Databricks' security positioning meets financial industry standards.
Lead and scale a team of 20+ Applied Scientists, driving AI innovation in identity verification and fraud detection from research to production. Set technical direction, influence product strategy, and ensure responsible AI practices across biometrics and identity systems. Engage with customers and cross-functional teams to deliver measurable impact on accuracy, fraud, and conversion.
This role involves developing and running advanced evaluations of frontier AI models in cybersecurity and autonomous systems, using cyber ranges and CTF environments to assess capabilities and risks. You'll work on pre-deployment testing, validate novel model behaviors, and support UK government decision-making on AI governance. The work is research-driven, technically rigorous, and operates at the intersection of AI safety, security, and policy.
Lead business development and delivery projects for an AI-driven simulation platform within the aerospace and defense sector. Engage with senior engineering and manufacturing leaders to identify opportunities, scope technical proposals, and drive customer adoption. Shape product direction through direct customer feedback and represent the company at industry events, balancing strategic relationship management with hands-on project execution.
Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.
