AI Engineer: Route Optimization & Real-Time Replanning

Vecta Ltd; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

Vecta Ltd is seeking an AI Engineer to design and build AI systems that optimise routes, forecast demand, and replan in real time when disruptions occur. The role combines backend engineering with production ML, tackling hard logistics problems with significant real-world impact.

You’ll work on route optimisation, load planning, and carrier matching, building data pipelines and feature stores to power scalable ML models while collaborating with operations teams to understand the messy realities

Qualifications

• 4+ years of backend engineering experience with a focus on ML systems
• Strong experience with optimisation problems (e.g., vehicle routing, scheduling)
• Proficient in Python and production ML tooling
• Solid data engineering skills and data pipelines

Responsibilities

• Build AI systems for route optimisation, load planning, and carrier matching
• Design real-time replanning systems that respond to delays and disruptions
• Create demand forecasting models for shipment volumes and capacity needs
• Develop data pipelines and feature stores powering ML models at scale
• Collaborate with operations to understand real-world logistics challenges

Skills

Backend engineering

ML systems exposure

Python

Data engineering

Optimization problems

Job description

Vecta Ltd is seeking an AI Engineer to design and build AI systems that optimise routes, forecast demand, and replan in real time when disruptions occur. The role combines backend engineering with production ML, tackling hard logistics problems with significant real-world impact.

You’ll work on route optimisation, load planning, and carrier matching, building data pipelines and feature stores to power scalable ML models while collaborating with operations teams to understand the messy realities