Machine Learning Engineer – Onsite in Oxford
Location: Oxford, UK
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).
Why Apply?
You’ll join a team working on high-impact projects that combine advanced materials science with machine learning innovation. Expect a collaborative environment, opportunities for growth, and the chance to make a tangible difference in next-generation manufacturing.