Описание
NewDay is a financial services company building data-driven machine-learning capabilities and production systems.
Задачи
- Establish standard, reusable patterns for model serving, pipelines, and deployment;
- Define standards for model packaging, versioning, CI/CD, monitoring, and observability;
- Set production-readiness criteria for models entering engineering workflows;
- Provide technical direction for ML solutions delivered within the team;
- Evolve platform capabilities to reduce bespoke approaches over time;
- Reduce the engineering effort required to productionize models through reusable approaches and platform capabilities.
Требования
- Experience building and operating ML systems in production, including model serving, monitoring, and lifecycle management;
- Strong understanding of serving patterns across batch and real-time environments and of moving models from training to production;
- Experience defining engineering approaches that enable Data Science teams to deliver reliable, production-ready models;
- Ability to turn ambiguity into clear, adoptable technical standards and reusable patterns;
- Experience setting technical direction and influencing engineering practices across teams;
- Hands-on experience with cloud ML platforms such as AWS SageMaker and orchestration tools such as Airflow and Step Functions;
- Strong communication skills and ability to collaborate across Data Science, Engineering, and Data Platforms;
- Comfortable operating at the boundary between experimentation and production-grade ML delivery;
- Values structure, consistency, and high standards in engineering practices;
- Thinks in terms of reusable frameworks rather than one-off solutions;
- Motivated by improving the reliability and long-term maintainability of ML systems;
- Brings clarity, direction, and technical leadership to complex problem spaces.
Условия
- Equal opportunity employer with an inclusive working culture;
- Reasonable adjustments are available to support candidates with disabilities or caring responsibilities during the application and interview process.
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ml engineer in financial services employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
