Senior AI/ML Engineer (Production)
- London, United Kingdom
Site Name: UK - London, UK - London - Brentford
Posted Date: Mar 24 2021
Senior AI/ML Engineer (Production) Location: Central London
At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK's unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.
We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning and infrastructure experts that want to be part of a team that discovers new medicines. The role of AI/ML Production Engineer is an exciting opportunity that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.
This is a hands-on position where you will be empowered to be creative, ambitious and bold. Our mission on the AI/ML Platform Engineering team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the pharma space and translate their solutions into direct impact on the business and on patients. The Production Engineer function embeds directly with AI/ML project teams doing cutting-edge work, serving as the voice of expertise in software engineering, scientific computing at scale, and expert problem-solving.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. As a AI/ML Production Engineer, we'd like you to be able to:
- Embed with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools
- Drive and teach standards for code, tool use, engineering best practices, etc
- Stand up useful tools such as AutoML (e.g. Uber's Ludwig, autosklearn, ...) and integrate them with metadata-driven training and production deployment workflows
- Help to guide the AI/ML Platform Engineering team's efforts based on first-hand experience on projects using our tools
- Work with partners in data platform, scientific computing, and similar teams to ensure the AI/ML org has the data, computing resources, and workflows/abstractions needed to do our best work.
Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals:
- Advanced Degree (Pure Mathematics or Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field)
- Expert understanding of Python
- Experience with at least one Deep Learning framework such as TensorFlow, Keras, or PyTorch, including parallelism
- Experience with common big data tools such as Spark
- Significant experience with professional software development practices such as code standards, code reviews, source control best practices, etc
- Excellent written and verbal communication skills
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
- Ability to work autonomously and collaboratively as part of a team to both teach and learn every day
- Exposure to job scheduling systems such as Slurm, YARN, or Kubernetes
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