Senior Data Engineer

Senior Data Engineer (Machine Learning) Term: 6 Months Pay: £800 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Requirements: Must have: • (5+ years of commercial experience) • Strong Python development • Blob storage - object storage for unstructured data ( experience with Google cloud storage (GCS preferred) or AWS S3) • PyTorch experience, especially on using PyTorch on data loading and dataset management Should have: • SQL Database, e.g. Microsoft Sql Server Database (preferred), PostgreSQL, etc. Memory management • BigQuery in GCP Nice to have: • Experience with other GCP services, such as Cloud Run, Cloud SQL, Cloud Scheduler, etc. • Experience with Machine Learning