Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
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...
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 building and evolving an AI-driven platform that supports agentic workflows in design and engineering. You will design and develop intelligent systems, orchestration layers, and production-ready AI features using modern LLM frameworks. Collaboration with product managers and designers is key to ensure user-focused and high-quality solutions.
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in...
This role involves building and maintaining full-stack applications, developing APIs, and working with databases. You'll also support AI-driven features, data workflows, and help automate operational processes, giving you a unique blend of technical and business responsibilities.
As a PHP Engineer, you will work within a cross-functional squad to build secure, scalable software with a focus on AI-driven capabilities and intelligent agent development. Key responsibilities include software development, AI integration, quality engineering, and cloud-native practices, while collaborating closely with senior engineers and the engineering team leader.
This role involves leading the technical architecture for Wayve's Robotaxi remote assistance system, ensuring seamless integration between vehicle telemetry and human operator support. You will define the technical roadmap, drive cross-team execution, and establish quality standards for safety-critical operations.
As a Principal Architect, you will define and drive the architecture of Wayve's AI Portal Platform, a cloud-native, multi-tenant SaaS platform for enterprise OEM customers. You'll lead architectural decisions, ensure scalability and security, and mentor senior engineers while working in a fast-paced, collaborative environment.
Design and build enterprise-scale generative AI platforms, including chatbots, RAG systems, and agentic workflows, integrated into financial data products. Develop production-ready AI infrastructure using Python, LangChain, and cloud technologies on AWS or Azure. Collaborate across engineering and product teams to deploy scalable, full-stack AI solutions that deliver real-time business impact.
Design and build scalable, reusable data pipelines on Google Cloud Platform to support enterprise data delivery. Implement configuration-driven frameworks for ingestion and transformation, with embedded data quality and monitoring. Collaborate with data product, analytics, and data science teams to deliver production-ready solutions within a large-scale data strategy programme.
This role involves developing and scaling AI-powered solutions for enterprise clients, focusing on GenAI frameworks and full-stack development. You'll collaborate with senior stakeholders and engineering teams to design and build intelligent applications, while also growing your skills in emerging technologies.
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.
This role involves developing and scaling AI-powered solutions for enterprise clients, focusing on GenAI frameworks and full-stack development. You'll collaborate with senior stakeholders and engineering teams to design and build intelligent applications, while also supporting the development of robust infrastructure.
