Machine Learning Developer / Engineer

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Overview

Woven by Toyota is embarking on a transformative journey to shape the future of mobility through innovative technologies. This transformation aligns with Toyota's broader mission of evolving from a traditional vehicle manufacturer into a mobility company, focusing on human-centric solutions. The company's commitment is evident in their advanced autonomous driving capabilities and cutting-edge AI tools. Woven by Toyota is currently looking for a Machine Learning Developer / Engineer to join their dynamic team, working from their office located in London, England.

Job Responsibilities

In this role as a Machine Learning Developer, the responsibilities are comprehensive, designed to contribute significantly to the development of advanced Machine Learning solutions for autonomous driving applications. Key responsibilities include:

  • Supporting the design and development of Machine Learning models or model components essential for end-to-end autonomous driving.

  • Engaging in the complete lifecycle of Machine Learning projects—from initial data strategies, design, and development to experimentation, evaluation, and deployment.

  • Navigating ambiguities and addressing uncertainties which often arise from complex projects involving various teams and legacy codebases.

  • Writing high-quality code, ensuring rigorous standards for Machine Learning experimentation.

Required Skills

Candidates applying for this position should possess the following skill set:

  • A Master’s degree or higher in a related field, or equivalent industry experience.

  • Professional experience with Machine Learning frameworks such as PyTorch (preferred), Jax, or TensorFlow.

  • Proven experience with data sampling and data curation pipelines specifically for autonomous driving datasets.

  • Familiarity with machine learning workflows, encompassing data sampling, pre-processing, model training, ablation studies, evaluation, and deployment.

  • Competence in Python and C++ programming languages.

  • Experience working with infrastructure tailored for large-scale datasets and proficiency in distributed model training.

  • Familiarity with modern cloud services, such as AWS, GCP, or Azure.

  • Experience in model deployment, particularly with the NVIDIA stack.

  • Knowledge of recent breakthroughs in Machine Learning (e.g., foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) is beneficial.

  • A fundamental understanding of autonomous driving and large-scale data curation pipelines enhances a candidate's portfolio.

Work Environment and Company Culture

Woven by Toyota emphasizes creating a modern work environment that values the well-being of employees and their families. The company supports a culture that encourages innovation, collaboration, and personal and professional growth. They strive to provide numerous benefits and programs tailored to empower employees to conduct meaningful work.

Salary and Benefits

While a specific salary range was not disclosed in the job description, Woven by Toyota offers a competitive benefits package designed to attract top talent in the technology field. Key benefits include:

  • Comprehensive health, wellness, dental, and vision coverage.

  • A rewarding pension plan.

  • A flexible vacation policy allowing employees to maintain a healthy work-life balance.

  • A commitment to diversity and equal opportunity, making it an inclusive workplace.

Conclusion

This position presents a tremendous opportunity for skilled individuals passionate about redefining mobility and contributing to the next generation of self-driving technologies. The combination of Woven by Toyota’s innovative environment and their focus on personal and professional development makes this role particularly attractive for candidates seeking to make a significant impact in the field of machine learning and autonomous systems.



This job offer was originally published on jooble.com

Woven by Toyota

London

Software development

Full-time

August 15, 2025

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