the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, datamanagement and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS More ❯
Key Responsibilities: Lead significant research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications … or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, datamanagement, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team More ❯
Key Responsibilities: Lead significant research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications … or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, datamanagement, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team More ❯
performance cluster for bioinformatic analysis. The successful candidate will play a key role in supporting research across multiple groups and themes by providing expertise in delivering high-quality sequencing data and developing innovative workflows that support a diversity of experimental applications. You will collaborate closely with research groups to design and execute sequencing strategies tailored to novel and emerging … molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing bioinformatics tools and pipelines, and bespoke solutions if necessary, delivering actionable insights to collaborating scientists. To continuously curate an expert understanding on the underlying technologies in the … . To have a close working relationship with scientists from automation and bioinformatics teams. To contribute to the maintenance, calibration, and troubleshooting of sequencing instruments, ensuring maximal performance and data quality. To stay abreast of new sequencing technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry More ❯
