Future Tech Jobs
Future Tech Jobs
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.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload 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.
This role involves working on the core systems that power Synthesia’s script preview and voice generation, ensuring high-quality voiceovers across multiple languages and providers. You will design and evolve backend services, handle provider reliability, and contribute to user-facing product problems, collaborating closely with frontend and R&D teams.
This role involves working on the core systems powering avatars and generative media, ensuring scalability, reliability, and extensibility. You will collaborate with product, design, R&D, and adjacent teams to integrate model capabilities and maintain high code quality standards.
This role involves working in a highly creative, iterative environment to advance foundational AI models for drug design. You will collaborate with scientists and engineers, implement and optimize state-of-the-art ML models, and contribute to the development of innovative solutions in computational biology and chemistry.
This role involves leading the design of novel small molecule therapeutics using cutting-edge AI and computational chemistry. You will define the scientific direction, manage drug discovery programs, and mentor a high-performing team to deliver life-changing medicines.
A Forward Deployed Engineer at OpenAI works directly with customers to deploy and refine cutting-edge AI models in production environments. The role involves full-stack development, rapid prototyping, and solving high-impact technical challenges under ambiguity. Engineers act as a bridge between customer needs and internal teams, shaping product evolution through real-world feedback.
This role involves leading complex end-to-end deployments of AI models in production, working closely with strategic customers to ensure successful adoption. Responsibilities include technical scoping, system design, building, and production rollout, with a focus on delivering measurable impact and providing feedback to improve models and products.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves applying statistical and data science techniques to media audience measurement projects, primarily for Barb, with additional opportunities across RAJAR, CFlight, and TouchPoints. The Data Scientist will work hands-on with large datasets using R, Python, and PL/SQL, develop methodologies, conduct audits, and communicate insights to technical and non-technical stakeholders. The role offers exposure to data fusion and cross-media analytics within a specialist media measurement environment.
This role involves developing automated data analysis workflows and applying NLP, text mining, and AI techniques to extract insights from biomedical literature and scientific datasets. The Junior Data Scientist will support drug discovery initiatives by building content analytics pipelines and collaborating with cross-functional R&D teams. The position emphasizes data governance, responsible AI, and transforming complex scientific information into actionable intelligence.
Design and build privacy-preserving generative AI systems within a regulated insurance context, focusing on secure data handling, model deployment, and integration with research outputs. Work across the full ML lifecycle in a multi-partner environment, translating experimental AI into production-ready, compliant solutions.
This role involves designing and building privacy-preserving generative AI systems within a regulated insurance context. The engineer will translate research into production-grade, secure AI components, focusing on data sovereignty, anonymisation, and compliant deployment. Work spans the full lifecycle from prototyping to integration in a multi-partner, multidisciplinary R&D environment.
This role involves leading the development and deployment of production-grade machine learning systems, with a focus on fine-tuning large language models and building scalable inference infrastructure. The engineer will own the full ML lifecycle, from data pipelines to deployment, while mentoring teams and integrating AI solutions into products. The position bridges research and engineering in a remote-first, technically driven environment.
