Model Validation Jobs in Cambridge

4 of 4 Model Validation Jobs in Cambridge

Applied Science Manager, Traffic Quality ML

Cambridge, Cambridgeshire, United Kingdom
Amazon
invalid traffic filtering • Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation • Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group … department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building - Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results - Strong communication More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior AI Engineer

Cambridge, Cambridgeshire, United Kingdom
IQVIA Argentina
and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to enhance model performance. Validate and test models to ensure readiness for real-world deployment. Build prototypes and take ownership from the design to the production of AI-powered products from client More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Scientist - Computational Biology (Multiple Levels)

Cambridge, Cambridgeshire, United Kingdom
Deep Genomics Inc
engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Postdoc fellow- Bioinformatics & Executable Modelling for Rare Disease Digital Twins

Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
ONE NUCLEUS
We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: