Optimisation Engineer, Routing & Scheduling

ERLPhase Power Technologies Ltd.

. Lead optimisation for Relay's last mile, making routing, pricing, and scheduling decisions for couriers and the wider network .

Posted 11/9/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in Operational Research and advanced quantitative disciplines, with a strong focus on building optimization systems and machine learning models that deliver measurable outcomes. Capable of leading teams and fostering a collaborative research culture while effectively communicating complex ideas.

Highest-signal resume keywords

Operational Research ExpertiseOptimization Systems DevelopmentMachine Learning Model ProductionCollaboration and Communication SkillsQuantitative Discipline Background

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Operational ResearchOptimizationMachine LearningAlgorithm DevelopmentSolver DevelopmentQuantitative AnalysisData StructuringStatistical ModelingProduction SystemsAdvanced Mathematics

Soft Skills

CollaborationProblem-SolvingCommunicationEntrepreneurial DriveGenerosity in Teamwork

Industry Keywords

Last-Mile DeliveryIndustrial EngineeringQuantitative DisciplineResearch CultureTechnology Community

About the role

Key responsibilities & impact

Lead optimisation for Relay's last mile, making routing, pricing, and scheduling decisions for couriers and the wider network
Model and optimise decisions defining the last-mile delivery network and marketplace
Develop solvers and algorithms that perform live and at scale
Partner with Scientists to integrate machine learning and recommender systems with Operational Research
Raise the standard for Operational Research at Relay
Grow the team, research culture, and Relay's voice in the technology community

Requirements

What you’ll need

Deep expertise in operational research, whether from a PhD, publications, or years at the frontier in industry
Background in operational research, industrial engineering, or an advanced quantitative discipline, including trading, branched into optimisation
Experience building optimisation systems or ML models that run in production and owning the outcome
Ability to work on large, messy problems and bring structure to them
Ability to collaborate generously and explain complex ideas simply
Strong technical fundamentals and entrepreneurial drive
UK visa sponsorship requirements must be disclosed during application

Benefits

Comp & perks

Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives