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Founding MLOps & Data Engineer

LB505
  • £70,000 - £100,000
  • London Area

Founding MLOps & Data Engineer - London (4 days on site)


A venture-backed AI startup that's using machine learning to solve one of the biggest challenges in the mining industry are looking for a Founding MLOps & Data Engineer to build the infrastructure that takes cutting-edge ML into production.


What will I be doing?


  • Own the company's MLOps and data engineering strategy from the ground up.
  • Build scalable data pipelines and production ML infrastructure.
  • Develop reproducible, versioned and auditable machine learning workflows.
  • Work closely with ML researchers to productionise new models.
  • Collaborate with product engineers to integrate ML into customer-facing applications.
  • Shape the architecture of the ML platform as the company grows, with plenty of autonomy to influence technical decisions.


What we're looking for:


  • Strong Python engineering skills with experience building production data pipelines.
  • Commercial experience owning MLOps infrastructure and deploying machine learning models.
  • Experience working with cloud platforms (Azure, AWS or GCP).
  • A self-starter who enjoys working in fast-paced startup environments with lots of ownership.
  • Someone who can work through ambiguity, prioritise effectively and solve problems independently
  • Geospatial ML or scientific computing experience would be a plus
  • Experience working in an early-stage or founding engineering team.


What's in it for you?


  • Salary between £70,000 - £100,000 depending on experience.
  • Meaningful equity in a well-funded, early-stage startup.
  • The opportunity to build and own the company's ML platform from day one.
  • Work alongside experienced founders and engineers tackling genuinely difficult technical problems.


Apply now for immediate consideration!

Kirstie Moffat Data Science & Machine Learning Recruitment Consultant

Apply for this role