{
  "job_id": "KON5e476JZKiPj78AAAAAA==",
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  "job_title": "Data / ML Engineer",
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  "job_country": "GB",
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  "job_location": "United Kingdom",
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  "employer_name": "martee ai",
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  "job_posted_at": "3 days ago",
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  "job_description": "Why this role 🎯\n\nOur forecasting algorithm and time-series models are already built. What we need now is someone to make them run reliably—ingesting messy client data, maintaining our GCP/BigQuery infrastructure, and shipping outputs consistently as we scale from pilot to production. This role owns that.\n\nWho you are\n\nYou're a Data/ML Engineer with strong software engineering instincts. You write clean Python, you're comfortable wrangling dataframes, and you know how to build pipelines that don't break at 2am.\n\nRequired\n\n🐍 1–3 years of commercial experience in data engineering, ML engineering, or a similar role\n\n🛠️ Strong Python skills with hands-on pandas/dataframe experience\n\n🔁 Experience building and running data pipelines (ETL/ELT) with orchestration tools\n\n☁️ Familiarity with cloud platforms (GCP preferred) and tools like BigQuery\n\n🗂️ Comfortable working with messy, real-world data—CSV ingestion, schema validation, inconsistent formats\n\n🚀 Able to deploy and monitor models and pipelines in production\n\n📊 Can build and maintain dashboards to give the team and clients real-time visibility into model health and forecast outputs\n\n🤖 You love AI tools and use them to build shit fast—Cursor, Claude, Copilot, whatever gets the job done\n\n📣 Clear communicator who documents well and cares about reliability, not just shipping fast\n\n💃 Excited to work in a small, fast-paced startup where you'll take ownership and jump in wherever needed\n\nDesirable\n\n🧠 Enough statistics/ML knowledge to retrain, tune, and troubleshoot models—not just wrap APIs\n\n🏗️ Experience owning infrastructure: environments, dependencies, CI/CD, rollbacks\n\n🐳 Familiarity with containerisation (Docker) or infrastructure-as-code\n\n🍽️ Interest in food retail, fresh food, or supply chain domains\n\nWhat the job involves\n\nData pipelines 🔁 — Build, maintain, and improve our ETL/ELT pipelines. Ingest messy client data (CSV exports, varying formats, schema mismatches) and transform it reliably for forecasting.\n\nProduction systems 🚀 — Deploy statistical/ML models and keep them running at scale. Monitor pipelines and models, set up alerting for failures and data quality issues.\n\nVisibility 📊 — Build dashboards so the team and clients can see model health and forecast outputs in real time. Surface insights when performance drifts.\n\nInfrastructure ☁️ — Own our GCP environments, BigQuery setup, dependency management, and release processes.\n\nCode quality ✅ — Write well-structured, tested Python with proper version control practices (branching, PRs, code review).\n\nClient onboarding 📦 — Own the end-to-end process from receiving a client's first data extract to delivering clean forecast outputs.\n\nCollaboration 🤝 — Work closely with our Head of Data Science to run, maintain, and troubleshoot existing models. Document systems and runbooks clearly.\n\nTeam & reporting 👯\n• You'll be the first dedicated Data/ML Engineer, working directly with the founder (who loves using AI to build stuff and has a background in UX and product) as their technical sidekick. You'll also collaborate closely with our Head of Data Science and the rest of the founding team. This is a high-impact role where you'll shape how we build and scale our technology, data infrastructure from day one.",
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  "employer_website": "https://www.martee.ai",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773792000,
  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
}