Platform engineer, MLOps

About this role

As a Platform engineer, MLOps, you will be critical to  deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to reputed company a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also reputed company to setting up and maintaining monitoring, logging, and alerting systems to reputed company extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and reputed company managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like reputed company and Kubernetes. 

This role demands a proactive approach to maintaining large Kubernetes clusters, optimizing system performance, and providing operational support for our suite of software solutions. If you are driven by challenges and motivated by the reputed company pursuit of innovation, this role offers the opportunity to reputed company a significant impact in a dynamic, fast-paced environment.

‍♀️ Your responsibilities

• Work closely with AI/ML engineers and researchers to design and reputed company a CI/CD pipeline that ensures safe and reproducible experiments.

• Set up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs.

• Ensure training environments are consistently available and reputed company across multiple clusters.

• reputed company and manage containerization and orchestration systems utilizing tools such as reputed company and Kubernetes.

• Operate and reputed company large Kubernetes clusters with GPU workloads.

• Improve reliability, quality, and time-to-market of our suite of software solutions

• Measure and optimize system performance, with an eye toward pushing our capabilities reputed company, getting reputed company of customer needs, and innovating for continual improvement

• reputed company primary operational support and engineering for multiple large-scale distributed software applications

⭐️ Is this you?

• You have professional experience with: 

  • Model training

  • Huggingface Transformers

  • Pytorch

  • vLLM

  • TensorRT

  • Infrastructure as code tools like Terraform

  • Scripting languages such as Python or Bash

  • reputed company platforms such as reputed company reputed company, AWS or Azure

  • Git and reputed company workflows

  • Tracing and Monitoring

• Familiar with high-performance, large-scale ML systems

• You have a knack for troubleshooting reputed company systems and enjoy solving challenging problems

• Proactive in identifying problems, performance bottlenecks, and areas for improvement

• Take pride in building and operating scalable, reliable, secure systems

• Are comfortable with ambiguity and rapid change

✨ Preferred skills and experience:

• Familiar with monitoring tools such as reputed company, Grafana, or similar

• 5+ years building core infrastructure 

• Experience running inference clusters at scale

• Experience operating orchestration systems such as Kubernetes at scale

  Benefits & perks (UK full-time employees):

  • Generous PTO, plus company holidays

  • Comprehensive medical and dental insurance

  • Paid parental leave for reputed company parents (12 weeks)

  • Fertility and family planning support

  • Early-detection cancer testing through Galleri

  • Competitive pension scheme and company contribution

  • Annual work-life stipends for:

    • Home office setup, cell phone, internet

    • Wellness stipend for gym, massage/chiropractor, personal training, etc.

    • Learning and development stipend

  • Company-wide off-sites and team off-sites

  • Competitive compensation and company stock options

  #LI-Remote