Lead Machine Learning Engineer for MLOps

4 days ago

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

We are seeking a highly skilled Lead Machine Learning Engineer for MLOps to drive our mission forward and deliver industry-leading machine learning deployment.

This role offers a unique opportunity to join a passionate, talented team and shape the future of MLOps with Seldon's cutting-edge technology.

Key Responsibilities
  • Help realise the product vision: Production-ready machine learning models within moments, not months.
  • Design, build and extend Seldon's core product range of MLOPs tools and products.
  • Deploy machine learning models at scale across a wide range of use-cases and sectors.
  • Extend the state of the art in MLOPs, managing the production lifecycle of ML models from initial deployment, to testing and updating of the next iteration.
Requirements
  • A degree or higher level academic background in a scientific or engineering subject or relevant equivalent experience.
  • Experience with designing complex systems, from initial design to completion.
  • At least 4+ years of experience in industry.
  • Strong working knowledge of Golang.
  • Experience with Kubernetes and the ecosystem of Cloud Native tools.
  • Experience with building infrastructure with observability as a first-class concept.
Bonus Skills
  • Contributions to open-source projects.
  • Experience using machine learning tools in production.
  • A broad understanding of data science and machine learning.
  • Understanding of explainable AI or machine learning monitoring in production.
  • Familiarity with Python tools for data science.
Some of Our High-Profile Technical Projects
  • We built and maintain the black box model explainability tool.
  • We are part of the open-source working group, contributing through examples and prototypes around ML serving.
Some of the Technologies We Use in Our Day-to-Day
  • Go is our primary language for all-things backend infrastructure.
  • Python is our primary language for machine learning, powering our most popular services.
  • We leverage gRPC protobuf to standardise our schemas and reach scalability.
  • We use Typescript for our enterprise user products and interfaces.
  • We use Airflow to schedule and run our cloud-native technology stack.
Location and Benefits
  • London or Cambridge UK office - Hybrid working - 2 days per week in the office (either location).
  • An estimated salary of £90,000 - £120,000 depending on experience.
  • An exciting role with the opportunity to impact the growth of Seldon directly.
  • A supportive and collaborative team environment.
  • A commitment to learning and career development.
  • Flexible approach to hybrid-working.
  • Share options to align you with the long-term success of the company.
  • 28 days annual leave (plus flexible bank holidays on top).
  • Enhanced parental leave.
  • AXA private medical insurance.
  • Life Assurance (4x base salary).
  • Nest Pension scheme (5% employee / 3% employer contribution).
  • Cycle to work scheme.

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