Machine Learning Infrastructure Engineer

4 days ago

London, Greater London, United Kingdom Pandora Full time
About the Role

We are seeking a highly skilled MLOps Engineer to join our team at Pandora's London Digital Hub. As an MLOps Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure and platform essential for scaling our machine learning systems efficiently from experimentation to production.

Key Responsibilities
  • Design and implement the ML platform and infrastructure required for ML systems to scale
  • Facilitate an efficient ML route to live from experiment to production
  • Develop and deploy scalable tools and services to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of ML systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security
  • Communicate with product team and data scientists and machine learning engineers to build requirements and track progress
Requirements
  • Experience building end-to-end systems as a Platform Engineer, DevOps Engineer
  • Strong software engineering skills in complex, multi-language systems
  • Fluency in Python
  • Experience working with Infrastructure as Code, e.g. Terraform
  • Experience working with cloud computing and database systems, such as Databricks
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing with containerisation (e.g Docker) and orchestration Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices
Preferred but Not Required
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
About Pandora

Pandora is a leading designer, manufacturer, and marketer of hand-finished jewelry made from high-quality materials at affordable prices. With a presence in over 100 countries, Pandora offers a wide range of products through its e-commerce platform, retail stores, and wholesale partners.

At Pandora, we believe in creating an inclusive and diverse workplace that reflects the diversity of our customers. We are committed to fostering a culture of inclusion and diversity, where everyone feels respected and valued.

What We Offer

We offer a competitive rewards package, including a highly competitive salary, generous bonus scheme, private healthcare, and a range of benefits to support your well-being and career development.

Join our team at Pandora's London Digital Hub and be part of a dynamic and innovative team that is shaping the future of machine learning and data-driven decision making.

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