Senior MLOps Engineer

20 hours ago


London, Greater London, United Kingdom Bazaarvoice Full time
Job Summary:

We are seeking a Senior MLOps Engineer - Data Platform Development to join our Machine Learning team at Bazaarvoice. This role involves designing, implementing, and maintaining robust MLOps platforms and tooling for both batch and streaming ML pipelines.

About the Job:

Key Responsibilities:

  • MLOps Platform Development: Design, implement, and maintain MLOps platforms and tooling for both batch and streaming ML pipelines.
  • Cloud Engineering Expertise: Architect and implement cloud-based solutions on AWS, leveraging expertise in Cloud Platforms & Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS).
  • Kubernetes and Orchestration: Strong hands-on experience with managing clusters and deploying services, utilizing ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect).
  • Data Processing and Management: Experience with high-volume, unstructured data processing, familiar with NLP, Computer Vision, and traditional ML applications, and previous work in refactoring and migrating complex systems.

Requirements and Qualifications:

  • Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning systems.
  • Cloud Engineering Skills: Extensive experience with Cloud Platforms & Services, ideally AWS.
  • Kubernetes Expertise: Strong hands-on experience with managing clusters and deploying services.
  • Data Orchestration: Experience with ML orchestration tools.
  • CI/CD: Expertise in pipelines, especially GitHub Actions and Jenkins.

Bonus Points:

  • AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock.
  • AWS Certification: AWS Solution Architect Professional or Associate certification.
  • Advanced Degree: Master's degree in ML / AI / Computer Science.

Salary Range: $120,000-$180,000 per year, depending on location and experience.



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