PeopleCert

MLOps Engineer

PeopleCert

full-time

Posted on:

Origin:  • 🇬🇷 Greece

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Job Level

Mid-LevelSenior

Tech Stack

CloudDockerERPKubernetesPython

About the role

  • Ensure PeopleCert’s AI models run reliably, securely, and at scale in production.
  • Design, implement, and manage CI/CD pipelines for AI/ML models.
  • Automate deployment workflows for training, testing, and serving models in enterprise environments.
  • Set up monitoring and observability frameworks to detect model drift, bias, and performance degradation.
  • Collaborate with Machine Learning Engineers to transition models from prototype to production.
  • Optimize infrastructure for scalability, performance, and cost efficiency.
  • Ensure compliance with enterprise security, data protection, and regulatory requirements.
  • Document workflows and establish best practices for AI operations.
  • Turn prototypes into trusted enterprise services and maintain model health once live.
  • May work on Home Office Secure English Language Tests (SELTs) requiring background checks and language proficiency.

Requirements

  • Academic background in Computer Science, Engineering, or related field; Master's degree or higher considered a plus.
  • 3+ years proven experience with MLOps frameworks (MLflow, Kubeflow, or equivalent).
  • Strong skills in containerization and orchestration (Docker, Kubernetes).
  • Solid background in CI/CD, DevOps, or platform engineering applied to ML systems.
  • Familiarity with monitoring tools and model lifecycle management.
  • Strong scripting and automation skills (Python, Bash, or equivalent).
  • Ability to collaborate across engineering, data, and product teams.
  • Excellent knowledge of English (C2 level certification desired; LanguageCert C2 LTE or C2 IESOL a plus); extra languages desired.
  • Nice-to-have: Experience with feature stores and data versioning tools.
  • Nice-to-have: Familiarity with large-scale enterprise application environments (ERP, CRM, digital platforms).
  • Nice-to-have: Knowledge of responsible AI practices (audit logging, explainability frameworks).
  • Nice-to-have: Exposure to multi-cloud or hybrid cloud environments.
  • If working on SELT service: background checks required (DBS, Right to Work in UK, BPSS/CTC, financial and employment reference checks) and appropriate English language skills.
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