Senior ML Platform Engineer — Scale Production ML

Teya; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Teya is building a financial platform for local businesses across Europe. We are seeking a Senior ML Engineer to help shape and scale our ML platform, contributing to both batch and real-time decision-making.

You will work with data scientists, software engineers, and platform teams to deliver production-grade ML solutions. You will shape platform architecture, data product thinking, and engineering best practices to enable analytics and future AI capabilities while maintaining reliability,

Qualifications

• 5+ years' experience in ML Engineering, MLOps, or similar roles.
• Proficiency in Python.
• Experience with a managed machine learning platform such as Amazon SageMaker or an equivalent service.
• Practical knowledge of deploying and operating containerized workloads using Docker and Kubernetes.
• Experience developing or operating model-serving platforms, inference services, or backend APIs.
• Familiarity with feature-store concepts, including feature discovery, reuse, versioning, and online/offline consistency.
• Familiarity with model registries, experiment tracking, and ML metadata management.
• Experience with performance, scalability, and reliability considerations for real-time systems.
• Hands-on experience provisioning and managing cloud infrastructure with Terraform.
• Experience with CI/CD pipelines, automated testing, and Git-based development workflows.
• Familiarity with observability practices, including logging, metrics, alerting, and production troubleshooting.
• Strong grasp of software engineering principles and best practices.
• Experience contributing to or leading data warehouse architecture or redesign initiatives.
• Ability to collaborate effectively with technical and non-technical stakeholders.

Responsibilities

• Develop and maintain the platform, services, and tooling used to deploy, serve, and operate machine learning models in production.
• Deploy and operate machine learning workloads across our ML infrastructure.
• Improve automation across the ML lifecycle, including model packaging, deployment, versioning, monitoring, and release processes.
• Maintain and improve the reliability and observability of the ML platform and model-serving services, including logging, metrics, and alerting.
• Participate in the team's on-call rotation, investigate production incidents, and contribute to improvements that prevent them from recurring.
• Collaborate with data scientists, software engineers, and platform teams to turn ML use cases into reliable production solutions.
• Participate in technical discussions and code reviews, contributing to maintainable designs and strong engineering standards.
• Create and maintain clear technical documentation and operational runbooks.

Skills

Python

ML Engineering

MLOps

Docker

Kubernetes

CI/CD

Terraform

Cloud platforms

Tools

Amazon SageMaker

Docker

Kubernetes

Git

Terraform

Job description

Teya is building a financial platform for local businesses across Europe. We are seeking a Senior ML Engineer to help shape and scale our ML platform, contributing to both batch and real-time decision-making.

You will work with data scientists, software engineers, and platform teams to deliver production-grade ML solutions. You will shape platform architecture, data product thinking, and engineering best practices to enable analytics and future AI capabilities while maintaining reliability,