Principal Machine Learning Engineer

On
London
10 months ago
Applications closed

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Principal Machine Learning Engineer - Production Systems

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer – Production Systems

Senior Machine Learning Engineer

Principal Data Scientist London, United Kingdom

In the dynamic landscape of On, Data and Machine Learning play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.

Your Mission

- Lead the AI Platform Domain: Provide technical leadership and architectural vision for On's AI platform. Drive the strategy, development and implementation of scalable, reliable, and efficient machine learning solutions.
- Solve Complex Challenges: Tackle On's most challenging problems using cutting-edge machine learning techniques. Develop and deploy models that optimize e-commerce experiences, streamline supply chain operations, and unlock new business opportunities. This includes building impactful recommendation systems and contributing to data-driven product development.
- Champion AI/ML Best Practices: Be a passionate advocate for AI/ML within On. Promote best practices in model development, deployment, and monitoring. Educate and mentor other engineers and data scientists on the latest advancements in the field.
- Collaborate and Mentor: Work closely with data engineers, data scientists, and product teams to integrate machine learning solutions into On's technology ecosystem. Mentor and guide junior engineers, fostering a culture of learning and growth.
- Drive Innovation: Stay at the forefront of machine learning research and development. Identify and evaluate new technologies and techniques to enhance On's AI capabilities.

Your Story

- Deep Machine Learning Expertise: You possess extensive experience in designing, developing, and deploying machine learning models in production environments. You have a strong theoretical foundation and practical expertise in areas such as deep learning, natural language processing, and computer vision. You are a hands-on builder with a proven track record of developing and deploying successful machine learning solutions, including recommendation systems.
- Technical Leadership: You have a proven track record of leading complex machine learning initiatives and providing technical guidance to engineering teams. You are comfortable working with large datasets and building scalable, high-performance systems.
- Cloud and Platform Expertise: You are familiar with cloud-based machine learning platforms (e.g., GCP, AWS) and have experience deploying and managing models in these environments.
- Exceptional Communicator: You have outstanding communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences, from junior engineers to senior leadership (up to the Director level). You are passionate about sharing your knowledge and mentoring others.

Meet The Team

You will be part of a talented and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business growth in areas ranging from e-commerce to supply chain optimisation. As the most senior IC ML expert, you will play a critical role in shaping our AI strategy and mentoring other engineers.

What We Offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

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