What You Will Be Doing
With over 10 years at the forefront of the MLOps space, Seldon's mission is simple: to enable businesses to take control of complexity, offering real-time machine learning deployment with enhanced observability and flexibility.
At Seldon, we’re not just about technology. We’re about people. As a small, focused team, each individual can make a big impact in their role. Our collaborative approach is key to our success, and we pride ourselves on the unity and support that comes from working as one team. Our environment encourages learning, growth, and the opportunity to tackle complex challenges. With leadership that values your success, there’s always room to develop both personally and professionally.
About the role
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.
Essential skills
- 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.
Bonus skills
- Familiarity with Google Cloud Platform / AWS / Azure.
- Familiarity with Operator Pattern with Kubebuilder or Operator SDK.
- Contributions to open source projects.
- A broad understanding of data science and machine learning or the willingness to learn about it.
- Working knowledge of Python.
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
Location:
- London - Hybrid (2 days per week in office)
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
Top Skills
What We Do
Since 2014, Seldon has focused on developing the global infrastructure for enterprise companies to take Machine Learning projects from proof of concept into production with maximum efficiency and minimal risk. Our contributors, customers and partners include the largest and most innovative companies bringing more than 1.7 million unique ML models to production for hundreds of enterprise companies across a wide array of industries including Capital One, Covea, Ford, and more. Global companies continue to seek out Seldon as users typically report productivity gains of up to 92%, saving tens of millions of dollars on their machine learning projects. Seldon is based in London, England with a global employee presence aimed at accelerating the adoption of large scale machine learning to help solve cutting-edge challenges and shape the future
