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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...
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Based on advertised midpoints across the 97 priced listings posted in the last 12 months. Base salary only.
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...
The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are...
The Data Steward will define data ownership, manage the enterprise-wide data catalog, and ensure data governance and security. Key responsibilities include metadata management, data quality assessments, and training employees on data protection laws and best practices.
You will contribute to the development and operation of a cutting-edge inference platform, serving machine learning models at scale for scientific applications. Your role involves maintaining Kubernetes-based systems, ensuring platform stability, and improving CI/CD processes.
This role involves leading a growing data science team to deliver AI, machine learning, and data science solutions in a professional services environment. Responsibilities include defining AI strategy, translating business problems into technical solutions, and working closely with senior stakeholders and clients.
This role involves designing, building, and optimizing Salesforce Data Cloud solutions for enterprise clients. You will work closely with architects, delivery managers, and client stakeholders to deliver measurable outcomes across various industries, focusing on data streams, identity resolution, and data activations.
As a Lead Data Scientist in the Retail and Consumer team, you will set the technical direction for complex, high-impact projects, mentor cross-functional teams, and drive innovation. Your role involves defining project roadmaps, managing technical risk, and fostering long-term client relationships through strategic oversight and reliable solutions.
This role involves designing and delivering modern, enterprise-scale data platforms on AWS, enabling advanced analytics, AI, and data-driven decision making. You will lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes, working with highly skilled teams and cutting-edge technologies.
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