Senior Python Engineer: Platform & ML Ops

Cleo

United Kingdom

Presencial

GBP 70.000 - 90.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Company-wide performance reviews every 6 months
Generous pay increases for high-performing team members
Equity top-ups for promotions
25 days annual leave + public holidays
6% employer-matched pension
Private Medical Insurance
Enhanced parental leave
1 month paid sabbatical after 4 years
Regular socials
Online mental health support

Descripción de la vacante

A dynamic fintech company in the UK is seeking a Senior Python Engineer to collaborate with product teams and ensure effective adoption of tools for scalable and reliable data solutions. This role involves deploying microservices, enhancing internal tooling, and bridging gaps between teams. Candidates should demonstrate proficiency in Python, experience with Docker and Kubernetes, and a passion for driving impactful solutions. The position offers generous benefits, including equity and annual leave enhancements.

Formación

  • Proficiency in Python and best software engineering practices.
  • Ability to work cross-functionally with data scientists and product managers.
  • Experience deploying and operating microservices.

Responsabilidades

  • Support product teams in achieving their OKRs.
  • Implement and operate robust Python services.
  • Gather insights on real-world challenges and collaborate on solutions.

Conocimientos

Proficiency in Python
Docker
Kubernetes
Knowledge of streaming PySpark
Experience building data pipelines
Familiarity with Django
Familiarity with Flask
Familiarity with FastAPI
Data handling with Pandas
Async programming

Descripción del empleo

A dynamic fintech company in the UK is seeking a Senior Python Engineer to collaborate with product teams and ensure effective adoption of tools for scalable and reliable data solutions. This role involves deploying microservices, enhancing internal tooling, and bridging gaps between teams. Candidates should demonstrate proficiency in Python, experience with Docker and Kubernetes, and a passion for driving impactful solutions. The position offers generous benefits, including equity and annual leave enhancements.
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