ML Platform Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and enhance the platform systems that facilitate model training, evaluation, and production serving.

• Create infrastructure and tools that enhance the reliability, scalability, and cost-effectiveness of ML workloads.

• Develop internal tools and workflows that are user-friendly for both humans and agents.

• Work on the architecture that governs the deployment, serving, and operation of models in both research and product environments.

• Optimize scheduling, monitoring, and debugging processes for workloads executing on GPUs and cloud infrastructure.

• Create internal tools, abstractions, and agentic systems that minimize operational overhead for researchers and engineers.

• Foster enhancements in observability, automation, reliability, and developer experience.

• Collaborate closely with researchers and product engineers to identify challenges and transform them into robust platform functionalities.

• Contribute to the technical roadmap and make practical architectural trade-offs as the platform evolves.

⛳️ Requirements

• Extensive experience in building or managing production systems with an emphasis on reliability, scalability, and maintainability.

• A systems-oriented mindset: you instinctively consider bottlenecks, failure modes, interfaces, resource consumption, and long-term operability.

• Strong hands-on experience with cloud infrastructure, Linux, and infrastructure automation.

• Experience with Kubernetes and managing distributed workloads in a production setting.

• Proficient coding skills, preferably in Python or similar languages utilized for backend systems and tooling.

• Strong discernment regarding where automation provides leverage and where human oversight and reliability are paramount.

• Experience in developing internal platforms, developer tools, or infrastructure abstractions utilized by other engineers.

• Ability to navigate ambiguous environments and take ownership of open-ended technical challenges.

• A pragmatic approach: you prioritize solving the right problem effectively without over-engineering.

🏝️ Benefits

• Health insurance

• Retirement plans

• Flexible work arrangements

• Professional development