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Founding Data Engineer
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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.
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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).
- Geospatial ML or scientific computing experience would be a plus.
- Experience working in an early-stage or founding engineering team.
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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!
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