with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years. Flexible working options – hybrid. Mental health and wellbeing More ❯
you will design and develop scalable, cloud-based backend systems using multiple programming languages. You'll contribute to QA, automation, and infrastructure management while supporting DevOps and AI/MLOps practices. Collaboration on architecture, environment lifecycle, and regulatory compliance is key. Be a part of something bigger. At Eddyfi Technologies, we're proud to push the boundaries of innovation to More ❯
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
The Open University UK
suite of models required to enable effective planning and support students within The Open University. This will be delivered using advanced data science models deployed on the principles of MLOps techniques and approaches. Key Responsibilities Maintain and develop data and ML pipelines integrating AI/ML, and other services, into large-scale production applications Improve efficiency and reduce manual effort … to learn and adapt to new technologies and software as working in area of rapid technological development. Motivation to implement solutions that follow best practice and promote best practice MLOps principles. Pay close attention to detail in all aspects of work to ensure a high standard of output Ensure that all relevant data protection, information security and data retention policies More ❯