Founding MLOps & Data Engineer

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!