We are looking for a Senior Machine Learning Engineer to join our new R&D Discovery team. You will help design and implement ML-based approaches for analysing complex biomedical textual data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, and in both text and graph-like structures. The data will be used for tasks such as integration, search, question and answering, recommendation, and similarity tasks. You will also collaborate with your team members in applying graph algorithms to this data. You are comfortable working in a team that drives modern research and development in a fail-fast environment of rapid prototyping and evaluation with our scientific customer base.

You Will:

• Manipulate and analyse large, high-dimensionality data from multiple, sometimes heterogeneous sources to prepare them for integration into a knowledge graph
• Create NLP strategies for querying our knowledge graph in order to solve problems such as search, question and answering, and semantic similarity
• Work with Graph Engineer experts to design and develop approaches that can exploit graph data as part of our AI strategies
• Provide solutions in clustering, more-like-this-type querying, and making inferences across the data that can reveal novel insights
• Collaborate with your teammates from other disciplines such as graph and data engineering and with domain team members from our science teams
• Validate the approaches with our customer discovery team, applying a fail-fast approach to gather data on what works and what does not to solve our scientific questions

You Have:

• 5+ years in working in machine learning
• Strong experience with Python and programming fundamentals
• Extensive experience with NLP and PyTorch
• Experience with designing, building, and evaluating scalable production-ready ML models
• Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
• Experience with data manipulation and processing, such as SQL or pandas
• Degree in Software Engineering, Computer Science, or a similar relevant area.
• A can-do attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you

It's Useful If:

• You have experience in working in cross-functional teams with engineers from other disciplines, especially graph and data engineering
• Have worked with graph data in previous roles
• You have worked in the scientific data space