On Senior Machine Learning Engineer

On; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A progressive technology firm in the City of London seeks a Senior Machine Learning Engineer to build and automate ML pipelines. You will collaborate across teams to ensure scalable solutions that drive business impact. The ideal candidate will have 6+ years of experience, strong Python skills, and familiarity with AI platforms. This role offers a supportive environment centered on growth and innovation.

Benefits

Support for personal self-care

Team-oriented atmosphere

Opportunities for professional growth

Qualifications

• 6+ years of experience implementing machine learning initiatives.
• Strong expertise in deep learning and other ML techniques.
• Familiar with production-grade AI platforms.

Responsibilities

• Collaborate with data teams to implement AI solutions.
• Design and maintain scalable ML pipelines.
• Contribute to MLOps best practices.

Skills

Machine Learning

Python programming

AI platform experience

Cloud platforms

Team collaboration

Generative AI

Tools

Kubeflow

MLflow

Docker

Kubernetes

GCP

AWS

Airflow

Job description

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.

Your Mission

• 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: You have a strong theoretical foundation and practical expertise in areas such as deep learning, embeddings, clustering models, and prediction.
• AI platform Experience: You are familiar with the core components of AI platforms and have experience in working with production grade AI platforms and components (e.g. Vertex AI, Docker, Kubernetes).
• Cloud and Platform Expertise: You are have experience with cloud-based machine learning platforms (e.g. GCP, AWS).
• Team player: To be successful you will need to partner with a range of data science and engineering team members. You have strong communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences.
• Gen AI: Experience deploying Generative AI a plus

Meet The Team

You will be part of a growing 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.

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.