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As a Senior Operational Research Scientist at Relay, you'll lead optimization for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.

Responsibilities

Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Model and optimize the decisions that define our last-mile delivery network and marketplace.
Develop our solvers and algorithms so they perform live, and at scale.
Partner with other Scientists to unite ML and recommender systems with Operational Research.
Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community.

Requirements

PhD
Advanced quantitative discipline
Nice to have: Trading experience

Skills

Operational research Industrial engineering Optimization ML models Solvers Machine Learning

Staff Applied Scientist, Optimisation

Relay Technologies · Posted Nov 9, 2026

Open

London, London, United Kingdom
Hybrid
Full-time · Staff

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As a Staff Applied Scientist at Relay, you'll lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.

Responsibilities

Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Model and optimise the decisions that define our last-mile delivery network and marketplace.
Develop our solvers and algorithms so they perform live, and at scale.
Partner with other Scientists to unite ML and recommender systems with Operational Research.
Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community.

Requirements

PhD
Advanced quantitative discipline
Nice to have: Trading
Nice to have: Recommender systems

Skills

Operational research Industrial engineering Optimisation ML models Solvers

Senior Supply Planner- Foundations

Nextpower · Posted Jan 27, 2026

Open

Hyderabad, Telangana, India
Senior
7–10 years

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Responsible for supply planning and allocation management, capacity and risk management, supplier performance, and data-driven process excellence within a global clean energy organization.

Responsibilities

Manage supplier allocations aligned with demand, delivery schedules, capacity and supplier agreements
Ensure timely release and confirmation of sales order allocations
Analyze demand and supply signals to identify gaps and act on recovery plans
Evaluate forecast versus supplier capacity to identify supply risks and constraints
Drive timely resolution of BOM and supply variances

Requirements

Bachelor's degree in Supply Chain Management, Engineering, or a related field
Nice to have: Master's degree in Supply Chain Management / Operations
Nice to have: Planning methodologies (S&OP, Demand Planning, Strategic Planning)
Nice to have: APICS CPIM / CSCP Certification
Nice to have: Power Query

Skills

Supply planning Capacity management Risk management Variance management

Applied Scientist - Research Engineer (Optimisation), EMEA

Mistral · Posted Nov 4, 2026

Open

Paris

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Applied Scientists and Research Engineers focused on optimisation and operational research to post-train large language models and develop tools and frameworks for optimisation tasks.

Responsibilities

Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
Generate and curate datasets for optimisation modelling (LP, MILP, constraint programming, scheduling, routing), and build evaluators and benchmarks for operational research tasks.
Use solvers as verifiers to build reward signals for reinforcement learning.
Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
Collaborate with cross-functional teams to tackle complex use cases.

Requirements

PhD / Master in a relevant field (Operational Research, Applied Mathematics, Machine Learning)
Nice to have: ex-founder or builder
Nice to have: reinforcement learning using verifiable rewards
Nice to have: LLM-based optimisation modelling (e.g. NL4Opt-style problem formulation)
Nice to have: industry experience in supply chain, logistics, energy, or scheduling

Skills

PyTorch JAX large language models

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