SEO Manager
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...
Future Tech Jobs
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 Consultant role involves developing and executing training and education strategies to help customers quickly realize value from Synthesia's AI video platform. Responsibilities include creating engaging content, defining the onboarding process, and collaborating with internal teams to drive product adoption and customer success.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and modern ML frameworks to extract actionable insights from complex data.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating closely with business partners to drive innovation and growth.
This role involves leading the development and optimization of attribution models for paid marketing, building measurement capabilities for strategic forecasting, and delivering in-depth analysis to guide marketing investment. You will partner with cross-functional teams to drive the measurement roadmap and ensure clarity on key metrics.
This role involves developing and deploying customer-focused machine learning models, including customer segmentation, CLTV modelling, demand forecasting, and targeted promotions. You'll work closely with the Lead Data Scientist and other stakeholders to build scalable solutions and shape best practices in a growing Data Science team.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on high-impact ML systems, production-grade software, and scalable infrastructure. You will collaborate with cross-functional teams, mentor junior engineers, and act as a trusted technical advisor to clients.
As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, ensuring high-quality, scalable delivery. You will mentor cross-functional teams, manage client relationships, and drive innovation in a highly regulated industry, focusing on financial services and AI solutions.
This role involves working with a leading AI consultancy to develop and deploy responsible, human-centric artificial intelligence solutions for clients across government, finance, retail, and other sectors. The position emphasizes technical excellence, innovation, and real-world impact through transformative AI projects. Collaboration, intellectual curiosity, and a commitment to ethical technology are central to the role.
This role involves managing and coordinating cross-functional teams across Data Science, Engineering, and Underwriting to oversee end-to-end product and data pipeline workflows. You will work closely with senior stakeholders, drive delivery priorities, and support process improvements in a fast-paced, collaborative environment.
This role involves developing and maintaining ETL pipelines, managing data quality, and supporting KPI reporting and analytics. You will work with modern data platforms like Python, SQL, Snowflake, and the Microsoft Power Platform, focusing on automation and integration solutions.
This role involves developing and deploying machine learning models, analysing large datasets, and collaborating with cross-functional teams to support critical public sector services. The position is part of a high-impact project, focusing on data-driven initiatives and strategic decision-making.
As a Power BI Developer, you will design and build interactive dashboards and reports, working closely with data engineers and business stakeholders to deliver actionable insights. You'll focus on data accuracy, security, and performance optimization, while also supporting user adoption and training.
The role involves solving production-level machine learning problems focused on payments optimization, including improving payment retry systems and reducing failure rates. The engineer will work on end-to-end ML lifecycle tasks such as building data pipelines, monitoring models, and detecting drift, within a small, agile team. The work directly impacts key business metrics like subscriber growth and active user counts.
Lead the integration of complex data flows into SAP S/4HANA RISE as part of a major ERP and data transformation initiative. Work across engineering, data, and business teams to drive agile delivery, ensure data governance, and translate technical requirements into product outcomes. This role is central to building a modern, scalable data architecture within a high-visibility, fast-paced environment.