ml engineer for global health research

The Wellcome Trust is a global charitable foundation that improves health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships. It supports discoveries in life, health, and wellbeing while addressing global challenges including mental health, infectious disease, and climate and health.

• Identify opportunities where machine learning can help Wellcome make better decisions;
• Translate business problems into data science tasks and present complex results to stakeholders;
• Develop and evaluate machine learning models, with an emphasis on natural language processing;
• Lead specific machine learning projects across Wellcome Trust;
• Use open-source software to develop natural language processing and computer vision solutions, search algorithms, and tools;
• Collaborate with software and data engineers, analysts, designers, and business stakeholders;
• Share ideas and knowledge and review code within a cross-functional team;
• Maintain and improve internal data pipelines and machine learning tooling;
• Contribute to a diverse and inclusive culture across the department and organisation.

• Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering, or mathematics;
• Strong Python and SQL skills with a grounding in software engineering best practices;
• In-depth understanding of a deep learning framework such as PyTorch, TensorFlow, or JAX;
• Strong knowledge of modern natural language processing techniques, large language and transformer models, and libraries such as Hugging Face, VLLM, and LangChain;
• Proven experience owning the development of large-scale, high-impact machine learning solutions from initial experimentation through deployment;
• Strong knowledge of data science libraries such as Polars, Pandas, NumPy, and Scikit-learn;
• Knowledge of MLOps tooling such as Weights & Biases, AirFlow, AWS SageMaker, or Docker;
• Experience working with cloud platforms such as AWS, Azure, or GCP;
• Experience working collaboratively in a multidisciplinary team.

• Permanent contract;
• Hybrid working includes 3 days in the Euston Road offices on Tuesday, Wednesday, and Thursday, with the remaining 2 days either remotely or in the office;
• Flexible working options are available;
• The organisation supports adjustments for people with a disability or long-term condition.