Machine Learning Engineer

Amsterdam Up to €75,000 per annum Permanent

Machine Learning Engineer

📍Hybrid – Amsterdam (Must be EU citizen)

💰 Up to €75,000 per annum

🌾 AgriTech | Forecasting | ML in Production

🧠 Data Intelligence for Global Food Supply Chains


We’re working exclusively with a well-backed AgTech startup building a next-generation data intelligence platform to transform food markets. Their goal?


To eliminate opacity in agricultural pricing and give traders, processors and growers the tools to make smarter, data-led decisions — from field to supply chain. They’re now hiring a Machine Learning Engineer to drive the forecasting engine at the heart of this platform — where models meet real-world market volatility.



🚀 Why join?


✔️ Mission-led – Help stabilise food pricing and promote fairer agricultural supply chains

✔️ Greenfield product – Build predictive systems from scratch: time series, demand signals, anomaly detection

✔️ Core tech role – Own the design, deployment and evolution of machine learning in production

✔️ Early-stage upside – Work directly with the founders and have real autonomy on an industry-defining product


🔧 What you’ll be doing


🔹 Build and deploy forecasting models to predict agricultural supply & demand

🔹 Design pipelines for ingestion, training, validation and live inference

🔹 Create robust benchmarking tools to evaluate model performance (backtesting, live scoring)

🔹 Solve for data volatility, sparse signals, and seasonal cycles in pricing

🔹 Collaborate with data engineers, economists and product leads to align models with user needs

🔹 Explore LLMs, retrieval-augmented generation (RAG), and simulation techniques for decision tooling


🧠 Ideal profile


✔️ 4+ years working with ML models in production

✔️ Strong Python skills (PyTorch, scikit-learn, XGBoost) and familiarity with ML Ops tooling (MLflow, W&B, Keras, Tensorflow)

✔️ Production-level engineering skills — Docker, CI/CD, Azure, SQL, model monitoring

✔️ Deep understanding of data reliability, explainability and model evaluation in noisy domains


Interested?

Apply today or call Will Aldred at Oakwell Hampton Nederland

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