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AI/ML Engineer

GlaxoSmithKline AG

London · flexible Full-time Mid Level Yesterday

About the role

About GSK

At GSK, we see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting-edge products and solutions in Machine Learning and AI.

The AI Finance and Strategy team focuses on creating full-stack, AI-powered tools to support the R&D drug development strategy at the highest level of GSK. By leveraging data from across the organisation and beyond- from clinical trial readouts to external market analyses- as well as innovative methods -reinforcement learning, agentic systems, ML forecasting- we improve financial strategies and optimize decision-making.

We're looking for a highly skilled AI/ML 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, as well as and demonstrated expertise in complex mathematical modelling and AI/ML development. Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. We're looking for a passion for advancing financial and strategic solutions that align with GSK's mission, along with a commitment to continuous learning and development.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

In this role you will

  • Develop back end code for a Python web application
  • Design code architecture to operationalise mathematical models and algorithms
  • Build models, services, and libraries that fulfil the stated API contract and metrics for a project
  • Integrate AI/ML components with frontend, backend, data and compute infrastructure
  • Responsible for high quality software implementations according to best practices, including automated test suites and documentation
  • Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
  • Participate in code reviews, continuously improving personal standards as well as the wider team and product
  • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products
  • Consult, communicate and collaborate with stakeholders and users to understand their current processes and design requirements for improvements

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

  • Masters' degree in a relevant field (including computational or numerate), or equivalent experience
  • Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices
  • Demonstrated experience of Python backend development (e.g. using FastAPI)
  • Cloud experience (e.g. Azure preferred) including core web application infrastructure is essential
  • Strong skills in Python
  • Unit testing experience (e.g. pytest)
  • Knowledge of agile practices and able to perform in agile software development environments
  • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

  • Experience with Docker or containerized applications, especially architecture of multi-container applications
  • Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)
  • Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products
  • Some experience with frontend software development (e.g. React)

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Skills

AzureFastAPIGitGitHubLangGraphML forecastingNLPPydanticAIPythonReactReinforcement learningAutoGenDockerDevOpsAIMachine Learning

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