Senior MLOps Engineer

Salary: £34,000 - 69,000 per year

Requirements:

• MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience
• Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools
• Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras
• Experience implementing machine learning and large language models, including deployment, monitoring, and retraining
• Familiarity with software engineering guidelines, including version control, Git, CI/CD, containerisation, Docker, and workflow orchestration
• Knowledge of cloud platforms and scalable compute environments, with Azure preferred
• Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context
• Ability to align machine le...

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Submit your application today and join our talented team at Confidential.