Software Engineer, AI Libraries

Wayve

. Build high-quality platforms, tools and reusable abstractions for machine learning engineers and researchers .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Python software development, focusing on building high-quality platforms and tools for machine learning applications. Proficient in software architecture, testing, and observability, with a strong understanding of distributed computing and cloud environments.

Highest-signal resume keywords

Extensive Python ExperienceSoftware Architecture UnderstandingDistributed Computing ExperienceFamiliarity With ML FrameworksCloud Environment Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python Software DevelopmentSoftware DesignHigh-Quality Software SystemsConcurrent ComputingParallel ComputingDistributed ComputingTestingObservabilityModular Library DevelopmentModel Training Optimization

Soft Skills

CollaborationProblem-SolvingLeadershipCommunicationWillingness To Learn

Tools & Technologies

PyTorchTensorFlowAzureGPU ClustersCamera DataRadar DataLidar Data

Industry Keywords

Machine LearningSoftware EngineeringPlatform EngineeringScalable SoftwareAutonomy

Tech Stack

Tools & technologies

AzureCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Build high-quality platforms, tools and reusable abstractions for machine learning engineers and researchers
Work closely with machine learning teams to understand workflows and translate complex requirements into stable, scalable and intuitive software
Design and write Python software
Lead projects from discovery through delivery
Improve engineering standards
Support users working on model scale and performance
Build modular libraries for multimodal data loading, distributed training and inference, checkpointing and observability
Improve reliability, performance and developer experience across Wayve
Enable efficient model training on large GPU clusters
Support work with camera, radar, lidar and other data sources

Requirements

What you’ll need

Extensive Python experience
Track record of designing, delivering and maintaining high-quality software systems at scale
Understanding of software architecture, testing and observability
Experience with concurrent, parallel or distributed computing
Familiarity with ML frameworks such as PyTorch or TensorFlow
Familiarity with cloud environments, ideally Azure
Interest in autonomy and willingness to learn
This is a software and platform engineering role rather than an ML modelling position

Benefits

Comp & perks

Meaningful equity, sharing in the ownership and long term success of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working
Core hours
Chance to work hands on in vehicle workshops and labs
Learning and development budgets
Support for training, conferences and growth
Comprehensive health insurance
Dental benefits
Enhanced maternity and paternity leave
Retirement or pension where applicable
Access to therapists
Wellbeing partnerships
Team socials
Salaries benchmarked against the market annually