Senior Data Scientist

• Build computer vision algorithms for tasks such as object detection, image segmentation, and scene understanding.
• Build & own the technology roadmap for Data Science that allows us to deliver this vision
• Work closely with data engineers to improve data quality, labeling efficiency, and model accuracy
• Work closely with product teams to understand challenges & opportunities and communicate potential solutions
• Contribute to the long term product vision
• Ensure customers are successful in their use of our AI functionality

Key experience:

• At least five years experience in frameworks such as PyTorch and Tensorflow
• Two years experience in building & deploying object detection models at scale
• Experience in training, fine-tuning, distilling computer vision models in production
• Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets
• Solid understanding of Large Language Models, including how to apply multi-modal models.
• Understanding of deployment into Cloud based services - AWS, GCP, Docker, Linux
• Experience deploying ML models to edge devices with necessary optimisations

Additional requirements:

• Advanced degree in Computer Science, Statistics, Data Science or equivalent
• Experience building and commercialising ML models
• Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback capture
• Knowledge of data ecosystems and tools, spanning from data ingestion, data engineering, data quality, data orchestration, and data privacy considerations and governance
• Data-informed - highly analytical thinker and structured problem-solver
• Demonstrates initiative while collaborating effectively with others to drive solutions forward
• Stakeholder management - ability to influence and advise key stakeholders at all levels across the organisation
• Operational execution - can run the processes and culture needed to deliver value from data and analytics teams reliably
• Comfortable working with ambiguous or evolving requirements, with a proactive and adaptable approach
• Experience testing and validating non-deterministic systems
• Experience designing architecture and deployment systems for CV tasks is also beneficial

This role is remote within the UK or Europe, with commitment to commute to London for face-to-face meetings. This is a full time role.

Package

Benefits include:

Private health insurance

Private dental cover

Pension scheme

Annual performance bonus

Death in service cover

Commute expensed