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15th September, 2026 Machine Learning Engineer London (3 days onsite) (Must have full right to work in UK) This is a hands-on engineering role for someone who enjoys turning state-of-the-art research into robust,…
Senior Cloud Engineer building and evolving ML platform infrastructure (AWS, SageMaker, Databricks, MLflow, IaC, CI/CD, OpenShift) for a major global organisation's new AI Accelerator in London, supporting AI and computational biology research. Hybrid role: London-based, about three days per week in the office.
The Senior MLOps Engineer will manage the operational lifecycle of production machine learning models in a biomedical context, focusing on deployment, monitoring, and scaling infrastructure. The role involves working with distributed training technologies and cloud-native tools to support drug discovery research.
Senior Staff MLOps Engineer leading architecture, strategy, and best practices for production ML systems in a London-hybrid biopharma org, working across the full model lifecycle with Python, Docker, Kubernetes, and MLflow.
This senior technical leadership role involves defining the strategy and technical direction for an AI platform engineering unit within a major organization. The position requires a leader capable of driving MLOps excellence and guiding teams in a hybrid, London-based environment.
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