Go Software Engineer, Seldon

• At least 4+ years of experience in industry with a track record as backend engineer
• Strong working knowledge of Golang
• Experience in building applications using Kafka
• Experience with Kubernetes and the ecosystem of Cloud Native tools
• Experience/involvement in architecting, implementing, and debugging complex systems, from initial design to completion
• Understanding of distributed and low latency application architecture/systems and microservices
• Strong experience with API design, including gRPC and REST
• Experience in profiling, identifying, and fixing system bottlenecks at the component and system level

Desirable

• You will be joining our small but mighty team of talented engineers primarily working on our next-generation data-centric MLOps platform (Seldon Core v2) that allows users to scale to 1000s of models in production and build powerful data-driven ML inference pipelines using kafka
• There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science focused modules
• Help design, build and extend Seldon's Core v2 MLOps platform, contributing to improved reliability, scalability and performance as well as next-generation features
• Engage in technical discussions about the architecture of the system and the different tradeoffs made when picking particular solutions
• Help manage internal development, demo and test infrastructure, improving productivity for everyone in the team
• Respond to customer questions and queries as they arise, developing and integrating requested features within the existing codebase
• Reduce technical debt by maintaining the codebase at a high quality level: periodic 3rd party dependencies upgrades, automated tests and working CI/CD pipelines
• Some of our other high profile technical projects within our team:
• MLServer: Python-based machine learning server
• Alibi: black box model explainability tool
• Alibi-Detect: outlier, adversarial and drift detection tool
• LLM-Modules: serving powerful LLM-apps

• Flexible hybrid working
• 28 days annual leave & flexible bank holidays
• Stock options
• £1000 learning & development budget
• Healthcare / Cash plan
• Enhanced parental leave
• Seldon socials
• Access to discounts, treats, and resources on everything from a morning Coffee to the gym

Total funding: $33.5m

In the modern world, businesses are looking toward machine learning to help them make better decisions, but in-house data scientists are expensive and in short supply. Seldon has created an open-source machine learning platform that businesses can use to analyse their data, helping make the power of machine learning accessible to more than just the big corporations.