4 of 4 Permanent Machine Learning Scientist Jobs in Cambridgeshire

transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We … are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with … an interdisciplinary team of scientists and engineers to develop state-of-the-art machine learning models to decode nucleic acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery More ❯

Permanent Competitive Hybrid Cambridge, Cambridgeshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods … for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and … closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical discipline (e.g., computer science, chemistry, physics More ❯

Workplaces for Millennials, and Best Medium Workplaces lists. Summary Here at Insmed Cambridge, we believe that data drives discovery. We are developing the next generation of computational tools and machine learning models to accelerate therapeutic development for rare genetic diseases. To support this mission, we are seeking a talented and motivated Data Scientist with expertise in Machine Learning to join our growing team. In this role, you will help build a pioneering platform enabling data-driven drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data … analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent … and 3-year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein … with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity More ❯