AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with More ❯
pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative More ❯
CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development More ❯
pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of generative AI and large More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯
