Serve, monitor, and manage machine learning models with the world’s leading MLOps platform.
Predictive Analytics • Observability
June 3
🏢 In-office - London
Serve, monitor, and manage machine learning models with the world’s leading MLOps platform.
Predictive Analytics • Observability
• Help realise the product vision: Production-ready machine learning models within moments, not months. Our products make enterprise-grade MLOps easy. • Help design, build and extend Seldon's core product range of MLOps (Machine learning operations) tools and products. • Help enterprises deploy their machine learning models at scale across a wide range of use-cases and sectors. • Extend the state of the art in the developing area of MLOps including: Managing the production lifecycle of ML models from initial deployment, to testing and updating of the next iteration.
• 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
• 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 and £1000 per year L&D budget • 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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