Platform engineer, MLOps (UK)

AI-powered writing platform company focused on enterprise solutions
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS

Description For Platform engineer, MLOps (UK)

Writer is seeking a Platform Engineer specializing in MLOps to join their team in London, UK. This role is crucial for deploying and managing cutting-edge AI/ML infrastructure. The position involves collaborating with AI/ML engineers to develop robust CI/CD pipelines, managing monitoring systems, and maintaining large-scale Kubernetes clusters with GPU workloads. The ideal candidate should have 5+ years of experience in core infrastructure, with expertise in model training, Huggingface Transformers, PyTorch, and cloud platforms. The role offers a comprehensive benefits package including medical insurance, parental leave, and equity options. This is an excellent opportunity for an experienced engineer passionate about ML infrastructure to make a significant impact in a dynamic environment. The position offers hybrid work arrangements, combining the flexibility of remote work with in-person collaboration in London.

Last updated an hour ago

Responsibilities For Platform engineer, MLOps (UK)

  • Work closely with AI/ML engineers and researchers to design and deploy a CI/CD pipeline
  • Set up and manage monitoring, logging, and alerting systems
  • Ensure training environments are consistently available across multiple clusters
  • Develop and manage containerization and orchestration systems
  • Operate and oversee large Kubernetes clusters with GPU workloads
  • Improve reliability, quality, and time-to-market of software solutions
  • Measure and optimize system performance
  • Provide operational support for large-scale distributed software applications

Requirements For Platform engineer, MLOps (UK)

Python
Kubernetes
  • Experience with model training
  • Experience with Huggingface Transformers
  • Experience with Pytorch, vLLM, TensorRT
  • Knowledge of infrastructure as code tools like Terraform
  • Proficiency in Python or Bash
  • Experience with cloud platforms (Google Cloud, AWS or Azure)
  • Experience with Git and GitHub workflows
  • Familiar with high-performance, large-scale ML systems
  • Experience with tracing and monitoring
  • 5+ years building core infrastructure
  • Experience running inference clusters at scale
  • Experience operating Kubernetes at scale

Benefits For Platform engineer, MLOps (UK)

Medical Insurance
Dental Insurance
Parental Leave
Education Budget
Equity
  • Generous PTO and company holidays
  • Comprehensive medical and dental insurance
  • Paid parental leave for all parents (12 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing
  • Competitive pension scheme and company contribution
  • Home office setup, cell phone, internet stipend
  • Wellness stipend for gym, massage/chiropractor, personal training
  • Learning and development stipend
  • Company-wide off-sites and team off-sites
  • Competitive compensation and company stock options

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