Founding MLOps Engineer

Founding MLOps Engineer

London (King's Cross) | 4 days onsite

We're working with a venture-backed deep-tech startup using machine learning to tackle complex, real-world challenges in a critical global industry. As they scale, they're looking for a Founding MLOps Engineer to build the infrastructure that takes cutting-edge research into production.

This is a high-impact role where you'll work alongside world-class ML researchers and software engineers to design and own the company's ML platform from day one.

What you'll be doing

• Building scalable ML training and inference pipelines
• Designing cloud infrastructure and deployment workflows
• Creating robust data pipelines and tooling for ML teams
• Improving reproducibility, model governance, and observability
• Shaping the long-term architecture of the company's ML platform

What you'll need

• Strong Python engineering experience
• Commercial experience in MLOps, ML Platform Engineering, or Data Engineering supporting production ML systems
• Experience with cloud platforms (AWS, GCP or Azure)
• A track record of building scalable infrastructure and automation
• Someone who thrives in early-stage environments with lots of ownership and autonomy

Nice to have

• Experience with geospatial data or scientific computing
• CI/CD, Infrastructure as Code, Kubernetes or Terraform
• Model governance, monitoring, or ML lifecycle tooling

This is an opportunity to join as one of the first engineering hires, influence technical direction, and play a key role in building technology with real-world impact.