Job Description

About Us

We're building an AI-native Insight & Decision Platform for industrial spare parts. That connects to existing CMMS, IMS and procurement systems to transform raw maintenance and purchasing data into predictive insights and autonomous buying decisions.

It helps factories and manufacturers move from reactive maintenance to proactive, optimized spare and wear parts management -- powered by domain-specific AI agents.

The Role

We're looking for a

Machine Learning Engineer

to develop and train domain-specific models for spare-parts intelligence -- spanning demand forecasting, part similarity, predictive maintenance, and intelligent procurement.

You'll be working closely with our Lead AI Developer to build the "AI brain" of the platform, creating reusable ML pipelines that make industrial data smarter.

Key Responsibilities

Design, train, and fine-tune ML models on structured and unstructured industrial datasets (BOMs, maintenance logs, purchasing data, etc.) Develop embeddings and similarity search pipelines for part identification and recommendation Build forecasting and anomaly-detection models for spare-parts consumption and stock optimization Collaborate with data engineers and the product team to validate models against real-world outcomes Stay up to date with new transformer and LLM-based approaches for industrial data

Skills & Experience

5+ years in applied ML engineering (ideally in manufacturing, supply chain, or predictive maintenance) Strong Python skills (PyTorch, TensorFlow, scikit-learn, Pandas) Experience with embeddings, transformers, and vector databases (Pinecone, Weaviate, FAISS) Familiarity with Azure ML, Databricks, or similar MLOps stacks Understanding of time-series forecasting, classification, and clustering Bonus: experience with BOM data, maintenance data, or industrial ERP/CMMS/IMS systems

You'll Thrive Here If You

Love experimenting with real-world data to solve practical problems Understand that data quality and structurematter as much as algorithms Enjoy working cross-functionally with product and engineering teams Want to build something genuinely new in industrial AI
Job Type: Full-time

Pay: 60,000.00-90,000.00 per year

Benefits:

Casual dress Company pension On-site parking Transport links Work from home
Work Location: In person