At a Glance
- Tasks: Build scalable ML infrastructure and pipelines to tackle real-world challenges.
- Company: Venture-backed deep-tech startup with a focus on machine learning.
- Benefits: Competitive salary, autonomy, and the chance to shape technology from day one.
- Other info: Be part of a dynamic team with ownership and growth opportunities.
- Why this job: Join as a founding engineer and make a real impact in a critical global industry.
- Qualifications: Strong Python skills and experience in MLOps or Data Engineering.
The predicted salary is between 60000 - 80000 £ per year.
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.
Founding MLOps Engineer in London employer: Understanding Recruitment
Join a pioneering deep-tech startup in King's Cross, where you'll be at the forefront of machine learning innovation. As a Founding MLOps Engineer, you'll enjoy a collaborative work culture that values autonomy and ownership, alongside opportunities for professional growth while tackling real-world challenges. With a focus on cutting-edge technology and a supportive team of world-class researchers and engineers, this role offers a unique chance to shape the future of ML infrastructure in a dynamic environment.
