AI Logistics
AI is reshaping how goods move. From warehouse robots sorting packages to algorithms optimizing millions of daily routes, logistics tech demands engineers who combine machine learning rigour with operational reality. We source talent from within this niche: those who've solved the messy, high-stakes problems where theory meets the last mile.

Logistics AI recruitment isn't about generic ML engineers. You need people who've worked inside supply chains, who understand the constraints – time windows, vehicle capacity, regulatory complexity – and can translate business problems into solvable challenges.
We have built relationships with supply chain scientists, operations researchers and autonomous systems engineers embedded in this sector. We know who's led successful warehouse automation rollouts, who's built real-time forecasting models that actually improve margins – and who understands the operational risks that academic solutions often miss.
Current capabilities
We have global talent capable of filling the following roles:
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Senior ML Engineer – Route Optimization
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Supply Chain AI / Demand Forecasting Engineer
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Computer Vision Engineer – Logistics
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Autonomous Systems / Robotics Engineer (Last-Mile / Warehouses)
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Operations Research Scientist – Logistics
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Predictive Maintenance Engineer (Fleet / Equipment)
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Real-Time Data / Streaming Engineer (Logistics)
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AI Product Manager – Logistics
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Last-Mile Delivery Optimization Lead
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Logistics Data Scientist / Analytics Engineer