Responsibilities
- Collaborate with interdisciplinary teams including data scientists, engineers, and product managers to develop integrated solutions
- Develop and implement scalable machine learning and artificial intelligence models that generate clear business value
- Manage the complete machine learning lifecycle from data analysis and feature development to model training, evaluation, deployment, and ongoing support
- Engage with business stakeholders to design novel data-driven products using advanced algorithms and large-scale datasets
- Build reusable tools, frameworks, and libraries to streamline and accelerate the development and deployment of ML and AI capabilities
- Contribute actively to the internal AI and machine learning community by promoting experimentation, knowledge sharing, and continuous learning
Benefits
- Private healthcare and dental coverage
- Flexible work-from-abroad allowance
- Discounted company share purchase program
- Electric vehicle incentive program to lower carbon footprint
- Additional holiday leave during festive periods
- Comprehensive benefits supporting family needs
- Defined progression routes for career development
- Open and structured pay bands
- Individual learning and development funding
- Scheduled days dedicated to skill enhancement and training
Work Arrangement
Hybrid — London, Paris, Barcelona, Milan, Edinburgh, Madrid
Work Arrangement
- Team members are expected to work in the office for at least 60% of the time over any 12-week period under the hybrid model
- A 28-day Work from Abroad policy is available