Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work closely with a team of researchers and developers to turn cutting-edge research into robust technology, focusing on improving the realism and controllability of generated scenes.
As a Synthetic Chemistry Lead, you will apply your expertise to drive improvements in Isomorphic Labs' AI-driven drug discovery platform. You will collaborate with multidisciplinary teams, manage CMC projects, and represent the company externally to CROs and CDMOs.
This role involves designing and executing cellular and biochemical assays to support drug discovery, maintaining cell lines, and collaborating with cross-functional teams. The position offers opportunities for skill development and independent work in a cutting-edge TechBio environment.
This role involves leading the medicinal chemistry strategy across discovery programmes, translating biological insights into clinical candidates. You will work closely with cross-functional teams to solve complex scientific challenges and advance programmes into clinical development, while also managing external collaborations and contributing to the growth of Relation’s discovery capabilities.
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...
Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech...
This role involves working on cutting-edge machine learning challenges at the intersection of biology and experimental science. You'll develop models that can handle sparse, noisy biological data, build trustworthy models for scientists, and guide better experimental design. The team values technical depth, collaboration, and a commitment to scientific truth.
The role involves working with a multidisciplinary team to study high-impact societal risks caused by advanced AI deployment. Responsibilities include designing and implementing experiments, building data pipelines, and evaluating AI models to inform mitigation strategies.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
Member of Technical Staff, Applied AIThe opportunityWe are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join...
This role involves working directly with end clients to deploy an AI and knowledge graph platform, leading technical delivery from scoping to production rollout. You will design and build AI-driven workflows, integrate knowledge graph data, and collaborate with both technical and non-technical stakeholders.
Develop and maintain C++ software for advanced imaging systems, focusing on high-speed data processing and hardware/software integration. Work within a multidisciplinary R&D team to build performance-critical backend applications and tools for scientific and industrial applications. Contribute to system architecture, debugging, and product development in a technically demanding environment.
This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.
