5 дней назад
Senior ML Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer (Fintech): Building and operating scalable ML platforms, model-serving services, and data infrastructure for batch and real-time decision-making with an accent on MLOps automation, reliability, and observability. Focus on deploying containerized workloads, improving model lifecycle management, and solving production scalability and incident-response challenges.
Location: London, United Kingdom
Company
builds a financial platform with simple tools, thoughtful design, and human support for local businesses across Europe.
What you will do
- 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 the ML infrastructure.
- Automate model packaging, deployment, versioning, monitoring, and release processes.
- Improve the reliability and observability of the ML platform and model-serving services through logging, metrics, and alerting.
- Participate in on-call rotations, investigate production incidents, and implement measures to prevent recurrence.
- Collaborate with data scientists, software engineers, and platform teams to deliver reliable production ML solutions.
Requirements
- 5+ years of experience in ML Engineering, MLOps, or similar roles.
- Strong Python skills and experience with a managed ML platform such as Amazon SageMaker or an equivalent service.
- Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, automated testing, and Git-based workflows.
- Experience developing or operating model-serving platforms, inference services, or backend APIs.
- Knowledge of feature stores, model registries, experiment tracking, ML metadata management, and real-time systems.
- Strong software engineering, data warehouse architecture, observability, scalability, reliability, and stakeholder collaboration skills.
Culture & Benefits
- Inclusive equal opportunity workplace committed to diversity and accessibility.
- Reasonable adjustments are available throughout the recruitment process.
- Engineering culture focused on quality, fast execution, detailed work, and meaningful products for local businesses.
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