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ML Engineer - Model Optimisation

wayve • United Kingdom
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AI Summary

Own end-to-end delivery of production-ready AI models for autonomous driving, ensuring they meet strict on-vehicle runtime constraints. Train and iterate on PyTorch models while applying optimisation techniques like quantisation and distillation to improve performance. Collaborate with performance engineering teams to debug issues, define bottlenecks, and align on deployment priorities.

Key Highlights
High-ownership role focused on delivering production-ready model releases for OEM engagements.
Requires strong hands-on experience with PyTorch and model optimisation techniques (quantisation, distillation).
Involves working at multiple levels of abstraction, from high-level model behaviour to low-level kernel/runtime execution.

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Key Responsibilities
Own end-to-end delivery of model releases, from initial requirements through training, evaluation, iteration and deployment readiness.
Train and iterate on PyTorch models with a hypothesis-driven approach, running ablations against clear evaluation criteria.
Debug model performance by identifying regressions, root-causing issues and proposing fixes.
Collaborate with adjacent ML and performance engineering teams to hand off models, define bottlenecks and align on optimisation priorities.
Communicate with stakeholders on delivery timelines, trade-offs and readiness criteria.
Technical Skills Required
PyTorch Model Optimisation Deep Learning

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Benefits & Perks
Meaningful equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Comprehensive benefits including health insurance, dental, and enhanced parental leave

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Nice to Have
Experience with models under tight latency/efficiency constraints (edge, embedded, real-time)
Exposure to ML systems from training through to deployment handoff
Embedded/edge deployment including benchmarking on real devices

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.🛠️ We're a high-ownership team responsible for delivering production-ready model releases as Wayve's OEM engagements and release cadence accelerate. We're applied and delivery-focused: we take models from "works in training" to "meets product constraints," working closely with downstream inference and performance specialists to get models ready for on-vehicle deployment.🧠
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Job Overview
Posted Date Oct 06, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United Kingdom
Category Machine Learning
Company wayve
Mentioned Skills
ai embedded deep learning pytorch machine learning

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