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Senior MLOps Engineer

21 hours, 3 minutes ago
United Kingdom
Full-time
Senior
Machine Learning Engineer
Software Development
AWS CI/CD GCP GitHub Actions Kubernetes Machine Learning MLflow MLOps Serverless Terraform
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Prolific

Prolific

Prolific is a platform that enables researchers to quickly find trustworthy research participants. With a pool of over 120,000 active and verified participants, Prolific ensures high-quality responses through continuous monitoring and engagement. The p...

Professional Services
51-250
Founded 1997
$0M raised
View All Jobs 65

Description

  • Design and maintain scalable cloud infrastructure using Infrastructure as Code on GCP and AWS with Terraform.
  • Manage GPU and TPU resource allocation for model training, fine-tuning, and interactive notebooks.
  • Build internal services and CLI tools that improve the AI team’s developer experience.
  • Design CI/CD/CT pipelines for machine learning and continuous training workflows.
  • Implement and support model-serving patterns and manage service deployments to Kubernetes.
  • Manage and optimize vector databases and embedding pipelines for retrieval-augmented generation systems.
  • Improve model inference performance by reducing latency and increasing throughput.
  • Solve scaling bottlenecks for serverless and containerized model deployments.
  • Optimize GPU utilization and cloud spend while maintaining performance.
  • Monitor model drift, data skew, resource utilization, and LLM service health, including prompt and agent tracing.

Requirements

  • 5+ years of experience with cloud infrastructure and Infrastructure as Code.
  • Experience across the ML and LLM lifecycle, including training, hosting, optimization, and observability.
  • Experience working closely with researchers and data scientists to move experiments into production.
  • Strong understanding of machine learning fundamentals and the modern GenAI stack.
  • Experience with GCP and/or AWS is required.
  • Experience with Terraform is required.
  • Experience with CI/CD tooling such as GitHub Actions, MLflow, or Vertex AI Pipelines is preferred.
  • Experience with Kubernetes and model serving patterns is preferred.
  • Experience with vector databases and embedding pipelines for RAG systems is preferred.
  • Familiarity with LLM tracing and production monitoring is preferred.

Benefits

  • Competitive salary.
  • Benefits package.
  • Remote working.
  • Mission-driven culture.
  • Access to a unique human data platform.
  • Opportunities for groundbreaking research.

Interested in this position?

Apply directly on the company website

Apply Now

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