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.
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 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.
The Strategic Delivery Lead for International Public Sector will lead complex AI deployments with global public sector institutions, working with senior stakeholders to translate institutional challenges into practical solutions. Responsibilities include partnership building, project management, risk mitigation, and cross-functional collaboration to ensure successful delivery and adoption of AI tools.
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 Research Investigator, you will play a key role in the pharmacology and translational biology of novel large molecule therapeutics, leveraging Isomorphic Labs' cutting-edge AI drug design engine. You will design and execute comprehensive pharmacology plans, lead in vivo and in vitro evaluations, and collaborate with interdisciplinary teams to advance candidates from early discovery to clinical stages.
This role involves working closely with research scientists and simulation engineers to build and optimize machine learning models for real-world physics and engineering problems. You will design, implement, and scale models using distributed training architectures and cloud services, while also mentoring colleagues and translating research into reusable libraries and products.
This role involves shaping the research group's strategy and culture, defining necessary profiles, and promoting effective working patterns. Key responsibilities include designing, building, and optimizing machine learning models, implementing distributed training architectures, and working closely with research scientists to address real-world physics and engineering problems. The position also involves mentoring junior team members and fostering a collaborative environment.
This role involves maintaining and enhancing the company's data infrastructure while leading AI-driven improvements. You will design and deploy AI features, build vector databases, and transform ETL/ELT processes into AI-ready pipelines. Additionally, you will mentor the team on MLOps and AI best practices, ensuring data quality and system performance.
About the TeamThe Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems...
The opportunityWe are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. You...
This role involves providing expert consultation on ML and Gen AI data collections, managing customer relationships, and driving business value through technical advisory and partnership building. You will coordinate across teams, document effective solutions, and optimize collection health metrics to ensure customer success.
The role involves maintaining strict confidentiality, working with various data types (text, speech, image, video), and delivering high-quality labelled data using in-house tools. You will contribute to improving Alexa’s performance by evaluating and annotating data, while also supporting the team in identifying and resolving operational issues.
The Principal Systems Engineer will lead the development of innovative intraoperative support solutions, collaborating across Medtronic's R&D teams. Responsibilities include technical planning, system integration, and defining requirements for advanced surgical analysis systems using AI.
