Machine Learning Engineer page is loaded Machine Learning Engineerlocations: Londonposted on: Posted Todayjob requisition id: R-003229 Salary : £67,900 Closing Date : 5th May 2026 Contract Type : PermanentThe Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships.We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing, and taking on three global health challenges: mental health, infectious disease and climate and health.These challenges need the bold science we support, but they won't be solved by science alone. Where in Wellcome will In this role, you will work together with an interdisciplinary team of software engineers, data engineers, analysts, and designers to help Wellcome gain a deeper understanding of its funding data and inform decision-making. You will have the opportunity to develop machine learning models understand our research funding and it's impacts. With an emphasis on natural language processing and network analysis. You will work with open-source software in a highly collaborative team, developing, maintaining, and proposing new solutions to enhance our data science offering to the organisation. Propose, develop, and evaluate machine learning models with an emphasis on natural language processing Translate business problems to data science tasks and present complex results to stakeholders Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling Identify opportunities where machine learning can help Wellcome make better decisions Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across departments How to apply To apply for this role, please submit an up-to-date CV and answer two application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: 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. Knowledge of supervised/unsupervised machine learning and modern natural language processing techniques for text classification, named entity recognition, and topic modelling. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team.You can view the full job on our webite You can read more about the benefits we offer our employees on our Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working: 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday), with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility, or contact us at . support researchers, we take on big health challenges, we campaign for better science, and we help everyone get involved with science and health research. Wellcome isn't just a supporter of great ideas, it's a great place to work. We offer excellent benefits and help our employees to develop in an open, respectful culture where differences are valued.