Job Description

Job Description

Job Profile: Senior MLOps Engineer  

About the Project  

LSEG is a leading global financial markets infrastructure and data provider. The?Content Amplify ?project is at the forefront of transforming unstructured financial narratives into structured, accessible data using cutting-edge AI technologies. 

Our mission is to?amplify human-in-the-loop efforts , enabling ML and LLM models to learn from subject matter expert feedback in a scalable, iterative process.

This includes leveraging?ML-Ops ,?cloud-native architectures , and?innovative feedback loops ?to continuously improve data quality, speed, and scope. 

Key Responsibilities  

  • Develop scalable and maintainable Python-based backend systems. 
  • Build and optimize APIs and services using frameworks like Flask or Django. 
  • Collaborate with cross functional teams including Data Scientists, DevOps, Architecture, QA, Cyber Security etc. to integrate classic ML and LLM models into production workflows. 
  • Design and maintain efficient database schemas and queries. 
  • Implement security and data protection best practices. 
  • Debug, test, and improve existing systems. 
  • Support production systems and ensure high availability. 
  • Take full ownership of design initiatives — from concept to task breakdown. 
  • Ensure system reliability, fault tolerance, and performance optimization. 

    • Required Experience & Skills  

    Must-Have:  

  • 5+ years of experience as a Python developer. 
  • Proficiency in at least one Python web framework (Flask, Django). 
  • Strong understanding of ORM tools and relational databases. 
  • Experience with cloud platforms (Azure preferred, AWS acceptable). 
  • Solid SQL skills and query optimization techniques. 
  • Bachelor's degree in Computer Science, Engineering, or equivalent. 
  • Excellent problem-solving and collaboration skills. 
  • Experience with Kubernetes (EKS), Docker, and CI/CD pipelines. 
  • Experience building scalable data pipelines and integrating with ML workflows. 

    • Nice-to-Have:  

  • Experience with big data technologies (Snowflake preferred). 
  • Familiarity with ML libraries (scikit-learn, pandas, PySpark, PyArrow). 
  • Ability to design and optimize database performance. 
  • Prior collaboration with Data Science teams. 

    • Soft Skills  

  • Energetic, open-minded, and creative. 
  • Strong self-learning ability. 
  • Team player with excellent communication skills. 
  • Flexible and adaptable to change. 
  • Independent and proactive. 
  • Fluent in English –?Must  

    • Apply for this Position

    Ready to join ? Click the button below to submit your application.

    Submit Application