3 of 3 Deployment Automation Jobs in the East of England

Senior Machine Learning Scientist – Advanced AI & Automation page is loaded## Senior Machine Learning Scientist – Advanced AI & Automationlocations: Royston: Home Office United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R38797Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist … regularly Sartorius relevant sites eg.: Royston near Cambridge.**Grow with us – Your Responsibilities*** You will design and deploy AI – driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors* Develop and optimize architectures leveraging LLMs and VLMs ...

join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI‐driven automation for next‐generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. Location & Travel Full‐time, with the opportunity … near Cambridge. The successful candidate must have the right to work in the UK. Responsibilities Design and deploy AI‐driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors. Develop and optimise architectures leveraging LLMs and VLMs ...

robust, scalable, and secure production environments—turning advanced analytics into sustained business value. What You’ll Do Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms … pipelines and models. Provide 2nd/3rd line support, manage release cycles, and resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What We’re Looking For Essential: 5+ years’ experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management ...