What You Will Be Doing

Seldon was founded in 2014 with a simple yet ambitious mission: accelerate the adoption of machine learning to solve the world’s most challenging problems. We’re on a mission to accelerate the adoption of machine learning in a responsible, trustworthy, and holistic way. Our vision is to create a future where artificial intelligence transforms the way we live, work, and interact. We strive to build a world where AI is harnessed responsibly and ethically by both enterprise organizations and the wider open source community.

Machine learning will soon be at the core of every connected business, so we’re seeking talented individuals to drive our mission forward to deliver industry-leading machine learning deployment and continue to make our mark in the MLOps space. 

We have created a culture that we’re proud of driven by our passionate, talented team and our open, collaborative ethos. We operate on the cutting edge of technology, in an agile environment that is evolving as we scale, enabling unique opportunities to grow and develop your career as part of the team and help shape the future with MLOps.

About the role

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.

Essential skills

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, where we contribute 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 including our , and our new ) Python is our primary language for machine learning, and powers our most popular Our primary service mesh backend leverages the , fully integrated with , but also with an option for We leverage gRPC protobuf to standardise our schemas and reach We use and Typescript for our all our enterprise user products and interfaces and to schedule and run all of our core cloud native technology stack

Location:

London or Cambridge UK office - Hybrid working - 2 day per week in the office (either location)

Benefits

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