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Founding MLOps & Data Engineer
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Founding MLOps & Data Engineer
Founding MLOps & Data Engineer – London (4 days on-site)
A venture-backed AI startup using machine learning to revolutionise the mining industry is seeking a Founding MLOps & Data Engineer to build the infrastructure enabling cutting-edge ML models to scale to production.
About the Role
- Architect and own the MLOps and data engineering strategy for an early-stage company
- Design and implement scalable data pipelines and production ML infrastructure
- Develop reproducible, versioned, and auditable machine learning workflows
- Work in tandem with ML researchers to deploy new models into production
- Collaborate closely with product engineers to integrative AI into customer-facing solutions
- Take ownership of ML platform architecture, ramping up as the company grows
- Strong autonomy to influence technical direction and solve high-impact challenges
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Requirements
- Strong Python and production data pipeline experience
- Commercial MLOps infrastructure ownership and model deployment track record
- Familiarity with cloud platforms (preferably Azure, AWS, or GCP)
- Fast-paced startup environment candidate: self-driven, able to thrive in ambiguous situations
- Proven ability to prioritise, solve problems independently, and deliver high-quality work
- Bonus:
- Geospatial ML or scientific computing experience
- Experience in early-stage founding engineering teams
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Benefits & Offer
- Competitive salary: £70,000 – £100,000 (based on experience)
- Meaningful equity in a well-funded, early-stage startup
- Direct ownership of the ML platform—building from ground zero
- Collaborate with top-tier founders and engineers tackling genuinely diffcult technical problems
- Fast-moving, impactful environment—apply immediately for quick consideration!
Apply now for rapid evaluation.
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