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Senior Machine Learning Engineer

2 months ago

London, Greater London, United Kingdom GlaxoSmithKline Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at GlaxoSmithKline. As a key member of our Artificial Intelligence and Machine Learning group, you will play a critical role in developing and applying machine learning to problems of critical importance in the healthcare sector.

Key Responsibilities
  • Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.
  • Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.
  • Connect and collaborate with subject matter experts in biology, genomics, and medicine.
  • Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.
  • Develop and embed automated processes for predictive model validation, deployment, and implementation.
  • Deploy your algorithms to production to identify actionable insights from large databases.
Requirements
  • A minimum of a master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
  • Extensive industry experience in machine learning engineering.
  • Extensive experience in Python programming and knowledge in machine learning and statistics.
  • Demonstrated proficiency working with clinical trial data in an academic or professional setting.
  • Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch.
  • Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.
  • Ability to work both autonomously and collaboratively on complex projects.
  • Track record of supervisory or mentoring positions.
Preferred Qualifications
  • A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
  • Academic or industry experience in the biomedical sciences especially in respiratory diseases.
  • Prior experience working in clinical trials.
  • Experience with real world evidence.
  • Expertise developing machine learning models within the PyTorch framework.
  • Experience with theory & applications in software engineering; training and operating algorithms at scale; production deployment of ML services.
  • Ability to digest, synthesize, and implement innovative methods from scientific literature.