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Lead MLOps Platform Engineer — Scale ML, Deploy & Monitor

JPMorgan Chase & Co.

City of Westminster

On-site

GBP 80,000 - 110,000

Full time

Today
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Job summary

A global financial services firm based in the City of Westminster is seeking a Lead MLOps Platform Engineer. In this role, you will design and develop a scalable ML platform, build and maintain infrastructure for automated ML pipelines, and mentor your team. The ideal candidate has proficient coding skills in Java and Python, experience with MLOps tools, cloud technologies, and CI/CD processes. You will collaborate closely with data scientists to enhance model integration and deployment.

Qualifications

  • Proficiency in operating, supporting, and securing mission critical software applications.

Responsibilities

  • Design and develop a scalable ML platform to support model training, deployment, and monitoring.
  • Build and maintain infrastructure for automated ML pipelines, ensuring reliability and reproducibility.
  • Implement tools for model versioning, experiment tracking, and lifecycle management.
  • Develop systems for monitoring model performance, addressing data drift.
  • Collaborate with data scientists to devise model integration patterns.
  • Optimize resource utilization for training and inference workloads.

Skills

Java programming
Python programming
MLOps tools (e.g., MLflow, Amazon SageMaker)
Cloud technologies (AWS/Azure/GCP)
Containerization and orchestration (Docker, Kubernetes)
CI/CD tools (e.g., Jenkins, GitHub Actions)

Tools

Terraform
Ansible
Job description
A global financial services firm based in the City of Westminster is seeking a Lead MLOps Platform Engineer. In this role, you will design and develop a scalable ML platform, build and maintain infrastructure for automated ML pipelines, and mentor your team. The ideal candidate has proficient coding skills in Java and Python, experience with MLOps tools, cloud technologies, and CI/CD processes. You will collaborate closely with data scientists to enhance model integration and deployment.
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