Founding MLOps and Data Engineer

Understanding Recruitment United Kingdom
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AI Summary

Join a venture-backed deep-tech startup as a Founding MLOps and Data Engineer. Own infrastructure, tooling, and data pipelines for ML models. Collaborate with ML researchers and product engineers.

Key Highlights
Own infrastructure, tooling, and data pipelines for ML models
Collaborate with ML researchers and product engineers
Build scalable training and inference workflows
Key Responsibilities
Own the infrastructure, tooling, and data pipelines that enable ML models to move from research into production
Build scalable training and inference workflows
Improve reproducibility and model governance
Technical Skills Required
Python Cloud infrastructure (AWS, GCP, or Azure) MLOps Data engineering
Benefits & Perks
£70,000–£120,000 + Equity
4 days/week in King's Cross, London
Visa sponsorship available
Nice to Have
Geospatial or scientific computing experience
ML platform engineering
CI/CD, infrastructure-as-code, or model governance experience

Job Description


Founding MLOps & Data Engineer

London | £70,000–£120,000 + Equity


We're hiring a Founding MLOps & Data Engineer to join a venture-backed deep-tech startup applying machine learning to solve complex real-world problems in a critical global industry.


You'll own the infrastructure, tooling and data pipelines that enable ML models to move from research into production. Working closely with ML researchers and product engineers, you'll build scalable training and inference workflows, improve reproducibility and model governance, and help shape the long-term architecture of the ML platform.


We're looking for:

  • Strong Python engineering skills
  • Experience with production ML workflows, MLOps or data engineering
  • Cloud infrastructure experience (AWS, GCP or Azure)
  • Someone who enjoys building from scratch and operating with high autonomy


Bonus points for:

  • Geospatial or scientific computing experience
  • ML platform engineering
  • CI/CD, infrastructure-as-code, or model governance experience


We're much more interested in ownership, drive and problem-solving ability than a specific number of years of experience.


Location: King's Cross, London (4 days/week)

Compensation: £70,000–£120,000 + meaningful equity

Visa sponsorship available for exceptional candidates


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