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).