Senior Machine Learning Engineer
On
- London, England, United Kingdom
- London, England, United Kingdom
À propos
In short
As a Senior Machine Learning Engineer, you\'ll build and automate production-level machine learning pipelines to drive our marketing programs at On. You\'ll partner with business, marketing, and data science teams to design, test, and deploy robust and scalable solutions. You will ensure our models are reliable and effectively integrated into our marketing technology stack. In the dynamic landscape of On Data, Machine Learning and AI 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.
Responsibilities
Drive impact through AI: Collaborate with data scientists to translate models into production-grade machine learning services that drive strong business impact through our marketing technology stack (e.g., email service providers, ad platforms, app platforms).
Platform excellence: Design, build, and maintain scalable and reliable data and model pipelines. Build an ML Ops infrastructure that monitors model performance and implement alerting to ensure high availability and accuracy.
Data culture: Work with cross-functional teams to understand business requirements and needs, and translate these into technical plans. AI/ML Best Practices: Contribute to the development of our MLOps best practices and infrastructure.
Your story
Technical Acumen: 6+ years of experience in implementing complex machine learning initiatives and independently designing production grade end to end ML/AI pipelines (e.g. Kubeflow, MLflow, Airflow). You have strong programming skills in Python.
Deep Machine Learning Expertise: Strong theoretical foundation and practical expertise in deep learning, embeddings, clustering models, and prediction.
AI platform Experience: Familiar with core components of AI platforms and have experience with production grade AI platforms and components (e.g. Vertex AI, Docker, Kubernetes).
Cloud and Platform Expertise: Experience with cloud-based machine learning platforms (e.g. GCP, AWS).
Team player: Ability to partner with data science and engineering team members; strong communication and interpersonal skills to convey complex technical information to diverse audiences.
Gen AI: Experience deploying Generative AI is a plus.
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.
More
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industry: Retail
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Compétences linguistiques
- English
Avis aux utilisateurs
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