3 engineering jobs found in Worcester

QC Microbiology Technician - Swindon Opportunity: This is a brand new position that has been created due to expansion. My client is a global pharmaceutical manufacturing company are looking to recruit an experienced Microbiologist where you will be carrying out high volume microbiology testing on finished drug products. Duties and responsibilities include: * Conducting QC Microbiology testing on finished drug products. * Supporting the QC Scientist’s on microbiology testing. * Maintaining the microbiology laboratory. * Maintaining stock levels and preparation of logbooks. * Maintenance of lab equipment to include but not exclusively: Switching on VLF Class II cabinet Boiling water / bead baths, Media preparation (pH testing of media, autoclave waste & sterilisation of equipment). * Maintenance of weekly stock culture isolates. * Washing Micro Glassware and use of glass washer. * Conducting In-process sampling testing when required. * Collective Environmental...

We’re Aioi R&D Lab – an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Machine Learning Scientist, you will will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards...

The role will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. Additionally, the postholder will create publishable material based on the work carried out in the program, and attend events such as conferences and workshops to disseminate the progress made. Responsibilities: * Lead or substantially contribute to technical research workstreams...