Machine Learning Engineer - Onsite in Oxford
Employment Type: Full-time, Onsite
Are you passionate about applying cutting‑edge machine learning to real‑world challenges? This is an opportunity to work at the intersection of AI and advanced manufacturing, helping to optimize processes and material composition through innovative solutions.
What You'll Do
* Design, develop, and validate novel machine learning models to optimize manufacturing processes and material composition.
* Collaborate closely with process engineers, material scientists, and domain experts to identify and engineer meaningful features.
* Develop internal machine learning platforms to enable adoption and application of validated models.
* Work as part of a fast‑paced, agile development team, identifying and prioritizing opportunities to deliver new capabilities.
* Build and maintain robust MLOps pipelines for scalable, reproducible, and automated model development, deployment, and monitoring.
* Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance.
Essential Skills
* Master’s degree in Machine Learning, Mathematics, or Statistics.
* Strong understanding of probabilistic model development.
* Experience with Bayesian modelling.
* Solid grasp of software design principles and best practices.
* Proficiency in at least one object‑oriented programming language.
* Familiarity with cloud platforms (Azure, AWS, GCP) and infrastructure‑as‑code tools (e.g., Terraform).
#J-18808-Ljbffr