Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, multi-GPU scaling, and HPC techniques. You will work closely with customer and partner engineering teams to deliver measurable performance improvements and support deployment in production environments.
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, memory management, and multi-GPU scaling. You will work closely with customers, partners, and internal teams to deliver measurable performance improvements and develop reference implementations.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
As a Senior or Principal Software Engineer, you will lead the development of a robust and scalable ML platform, focusing on infrastructure stability and reliability. You will work closely with research and applied ML teams to ensure the infrastructure can handle large-scale AI models and data, while also improving CI/CD processes and monitoring systems.
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 hands-on development and deployment of LLM-based applications into production environments. The Senior AI/ML Engineer will bridge the gap between advanced AI/ML and production-grade software, working in a newly formed R&D team to influence how AI capabilities are embedded into existing and new products. The role offers opportunities for leadership and growth within a fast-growing, market-leading company.
This role involves bridging the gap between advanced AI/ML and production-grade software, taking models from concept to scalable deployment. You'll work in a newly formed R&D team, contributing to modern AI approaches and shaping how data drives product capability in a well-established, market-leading company.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
This role involves partnering with public sector clients to understand their challenges and define AI-driven solutions. You will build and deploy end-to-end AI applications, create high-quality training datasets, and design evaluation frameworks to ensure the reliability and effectiveness of AI models. The position also includes occasional travel and contributing to the scaling of AI capabilities in the public sector.
This role involves working at the cutting edge of AI to develop and prototype solutions for real-world public sector problems. Responsibilities include rapid prototyping, model development, applied AI research, and translating ambiguous requirements into technical solutions. The team operates in a fast-paced, innovative environment with a focus on public impact.
This role involves designing and building AI-powered features within a .NET environment, integrating commercial AI APIs, and establishing best practices for applied AI engineering. You will lead by example, mentor other engineers, and collaborate with product and engineering teams to deliver user-facing AI capabilities.
Lead and scale applied AI initiatives for major Telecoms, Media, and Technology clients, driving both commercial origination and end-to-end delivery of production-grade AI solutions. This role involves leading multidisciplinary teams, shaping AI architecture, and embedding responsible AI practices across enterprise deployments, with a focus on generative AI, LLMs, RAG, and MLOps in secure, large-scale environments.
