Software Engineer, (Cloud/SaaS) at Seldon
London, GB / Onsite/Remote

Why join Seldon

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. Seldon accelerates the process of deploying, monitoring, explaining, and managing machine learning models, reducing risk and increasing ROI for data science projects. We have already helped to bring more than 3+ million unique ML models to production for hundreds of enterprises including Capital One, Ford, and Exscientia with productivity gains of up to 92%.

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’ve created a culture that we’re proud of that’s driven by our open, collaborative ethos and supportive environment. We’re a passionate team of innovators and the builders of serious next-generation, data-centric MLOps.


What you will be doing

We are accelerating our core product development and powerful user interfaces are core to our product to allow diverse users including ML managers, devops engineers, and data scientists to manage, analyze and improve the performance of their machine learning models.

This role is an exciting opportunity to get in at the ground level of our Seldon Cloud project - taking the best of our enterprise offering and reimagining it for SaaS.

We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon CoreAlibi:Explain and Alibi:Detect

At Seldon 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.

You will be a key member of our greenfield project to build Seldon Cloud, our upcoming SaaS product - taking the best of our open and closed source offerings and bringing them to an entirely new market. You will be joining an exciting phase of a start-up with an ambitious team and unlimited potential for professional growth.

Your responsibilities will include:

  • Building high quality scalable systems to help enterprises deploy their machine learning models at scale across a wide range of use-cases and sectors
  • Lots of opportunity to design and tackle hard problems your own way, we’re a small but growing tech team so you’ll have responsibility for all stages of software development
  • Help realise the product vision: Production-ready machine learning models within moments, not months. Our products make enterprise-grade MLOps easy.

  Some of the technology we use:

What you will bring to the team

  • A degree or higher level academic background in a scientific or engineering subject or relevant equivalent experience 
  • Familiarity with unix based development.
  • At least 2 years of experience in industry showing completed projects.
  • At least 2 years of experience developing production systems in a Cloud Native way.
  • At least 2 years experience of regularly developing and deploying microservices
  • Experience with Golang or a similar OOP language like Java, Python.
  • Experience with Kubernetes and the ecosystem of Cloud Native tools.
  • Ability to communicate and work well in a growing team environment

Nice-to-have skills

  • History of building and scaling SaaS applications
  • An understanding or interest in data science and machine learning


  • London or Cambridge UK offices, hybrid working environment


  • 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 (2/3)
  • Share options to align you with the long-term success of the company
  • 28 days annual leave (plus flexible bank holidays on top)
  • Perkbox - perks, medical and wellbeing benefits
  • Healthcare cash plan and Employee Assistance Programme
  • Pension scheme 
  • Cycle to work scheme

What’s next?

  • Our interview process is normally as follows:
    • a 30min get-to-know-you phone chat
    • online tech interviews with the team you’ll be working with
    • final cultural interview with our head of people team