Remote Principal MLOps Engineer - Responsible AI Job in UK Red Hat

Who you are

• Strong research and development experience in Explainable Artificial Intelligence (XAI) with a focus on Large Language Models (LLMs), model-agnostic interpretability methods, bias detection, and mitigation
• Recent hands-on experience in deploying and maintaining machine learning models in production environments with respect to explainable AI
• Technical leadership acumen
• Passion for writing and maintaining reliable code
• Hands-on experience in Kubernetes
• Excellent written and verbal communication skills

Desirables

• Master’s or PhD qualification
• Experience in engineering, consulting, or model serving and monitoring in a customer environment
• Highly experienced in OpenShift
• Advanced level knowledge and experience in Python, Go, or Java
• Familiarity with popular Python machine learning libraries

What the job involves

• Contribute as a technical expert for Explainable AI and fairness in the responsible AI features of the Open Data Hub project
• Research and design new features for open source MLOps communities such as KServe and TrustyAI
• Provide technical vision and leadership on critical and high impact projects
• Mentor, influence, and coach a team of distributed engineers