Machine Learning Engineer

Job Title: Mlops Engineer Location: London,UK (Hybrid) Employment type: B2B Contract Domino experience is must h ave Role Summ ary: We are seeking an experienced MLOps Engineer to join our team, focusing on the deployment, monitoring, and maintenance of machine learning models in production environments. This role does not involve model development or end-user support but is critical to ensuring the reliability and performance of our ML platforms. The successful candidate will also be responsible for managing API endpoints and overseeing model deployment workflows to ensure seamless integration and scalabi lity.Key Responsibil ities Platform Operations & Monit oring: • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Da ta Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through Ser viceNow • Interface directly with Domino Data Lab support to resolve model platform-related issues. Model Deployment into Pr oduction • Deploy and Maintain ML models in production envir onments. • Ensure models are properly integrated into automated pipelines and meet st andards. Pipeline Ma intenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to pr oduction. • Maintain and support ML pipelines, ensuring stability and sca lability. • Continuously optimize pipeline performance, resource usage, and a utomation Automation &am p; Tooling • Implement automation for deployment and monitor ing tasks. • Contribute to platform imp rovements. Required Skills & Experience: • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, R edShift etc) • Experience with Grafana for monitoring a nd alerting. • Good to have hands-on experience with Domino Data L ab platform. • Solid understanding of CI/CD pipelines, version control, containerization, and or chestration.