Founding Optimisation Engineer - AI Dispatch

Visa Hunt

Greater London

On-site

GBP 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Significant equity
25 days holiday + birthday off
Moorgate office
Learning & development budget
Foundational role defining the engine

Job summary

DayJob seeks a Founding Optimisation Engineer in London to design and scale our optimisation engine for short-haul trucking. You will own end-to-end model development, from conception to deployment, leveraging state-of-the-art algorithms and pragmatic constraints to improve customer economics.

We value a track record in real-world optimisation or ML for logistics, strong Python/SQL skills, and willingness to lead as we scale from a founding team in a fast-growing startup.

Qualifications

  • Degree in mathematics, physics, computer science, engineering or a similar quantitative field.
  • 4+ years working on optimisation, routing, scheduling, or applied OR problems with deployed systems.
  • Track record of building and shipping optimisation or ML solutions in transport/logistics.
  • Experience with geospatial data and related algorithms.
  • Strong Python and SQL, with hands-on use of solvers (OR-Tools, Gurobi, CPLEX).
  • Ability to design, build, deploy and tune models end-to-end.
  • Comfort with messy operational data and edge-case workflows.
  • Experience mentoring or leading engineers or a clear aspiration to start.

Skills

Python
SQL
Geospatial data
Solvers (OR-Tools,Gurobi,CPLEX)
Graph theory / computational geometry
Deployed systems experience

Education

Mathematics/Physics/CS/Engineering degree

Tools

OR-Tools
Gurobi
CPLEX

Job description

DayJob seeks a Founding Optimisation Engineer in London to design and scale our optimisation engine for short-haul trucking. You will own end-to-end model development, from conception to deployment, leveraging state-of-the-art algorithms and pragmatic constraints to improve customer economics.

We value a track record in real-world optimisation or ML for logistics, strong Python/SQL skills, and willingness to lead as we scale from a founding team in a fast-growing startup.

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