At a Glance
- Tasks: Scale Kubernetes and refine architecture for our AI-native biology lab.
- Company: Helical, a pioneering company in AI-driven workflows.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and impact.
- Why this job: Join us to shape the future of AI in drug development.
- Qualifications: Experience with cloud infrastructure, Kubernetes, and CI/CD processes.
The predicted salary is between 60000 - 80000 Β£ per year.
Helical is building an AI-native biology lab and production-ready AI-driven workflows.
We seek a Platform Engineer to scale the infrastructure behind our virtual AI lab, debugging Kubernetes and refining architecture while shipping to production.
You will own cloud infra, ML training and inference pipelines, and CI/CD across multi-tenant environments.
The role involves collaboration with ML, backend, and product teams to enable scalable, secure, and observable systems for AI-driven drug
#J-18808-Ljbffr
Platform Engineer: Scale Kubernetes & ML Infra employer: Helical
Helical is an exceptional employer for those looking to make a meaningful impact in the field of drug discovery through innovative AI solutions. With a founder-led, talent-dense team based in London, we foster a fast-paced work culture that values ownership and creativity, offering interns the chance to work directly with senior leadership and shape the future of our operations. Our commitment to employee growth is evident as we provide opportunities for full-time positions and encourage the use of cutting-edge tools to transform workflows, making every day at Helical a rewarding experience.