London - ML Ops Engineer II (Experiences)

This ML Ops Engineer role focuses on building and maintaining the infrastructure for machine learning model deployment and monitoring. The position involves automating ML pipelines, managing model lifecycle, and ensuring production reliability.

This MLOps Engineer owns the production pipeline for all data science jobs, working closely with data science teams to build new pipelines and monitoring solutions. Responsibilities include scaling infrastructure, CI/CD ownership, and mentoring best practices. Requires 3+ years of ML model deployment experience, MLOps/data engineering skills, and familiarity with Databricks, GCP, and DevOps tools.

This MLOps Engineer role is embedded within the AI Team for Pairs, a dating app, focusing on the reliability and development speed of AI products. The engineer will own the Kubernetes clusters, common components, online inference APIs, async workers, batches, and continuous learning pipelines, working closely with SRE, security, and privacy teams. The mission is to keep AI products stable in production and enable fast, safe improvements, leveraging coding and AI agents to reduce operational toil.

This role supports Tripadvisor's virtual community by managing user-generated content (UGC) and ensuring a positive user experience. The specialist will moderate content, respond to user inquiries, and implement community guidelines to foster engagement.

This role plans and executes advertising campaigns for the AMER region, optimizing yield and inventory. It requires experience with ad operations and programmatic advertising.

This role leads the B2B support organization, ensuring high-quality service delivery and operational excellence. It involves managing support teams, defining service standards, and driving continuous improvement.