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Machine Learning Engineer

LSEG is a leading global financial markets infrastructure and data provider driving financial stability and empowering economies.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Finance · AI
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Description For Machine Learning Engineer

Join the Innovation & Intelligence Team within LSEG's Data & Analytics Operations function as a Machine Learning Engineer. We are a dynamic organization of 25,000 people across 65 countries, focused on delivering impactful automation and AI solutions. The role offers an opportunity to work in an agile, collaborative environment, partnering with Engineering and D&A Operations teams to shape the technology roadmap and drive innovation.

As an ML Engineer, you'll be responsible for designing and implementing AI/ML solutions, building data pipelines, and developing production-ready tools. The position requires strong Python and SQL skills, along with experience in cloud platforms. You'll be part of a team that values creativity, continuous learning, and technical excellence.

LSEG offers a comprehensive benefits package including healthcare, retirement planning, and wellbeing initiatives. The company is committed to diversity and inclusion, providing an environment where individuals can bring their true selves to work. The organization plays a critical role in re-engineering the financial ecosystem to support sustainable economic growth.

The position is based in Bangalore, India, where LSEG has been certified as a Great Place to Work. You'll be part of a collaborative culture that encourages new ideas and is committed to sustainability across the global business. This role offers an excellent opportunity to work on cutting-edge technologies while contributing to the stability and growth of global financial markets.

Last updated 14 days ago

Responsibilities For Machine Learning Engineer

  • Design and implement solutions using AI/ML and other Automation technologies
  • Collaborate with cross-functional teams to gather requirements and translate them into working prototypes
  • Build and test Proof of Concepts (POCs) and Minimum Viable Products (MVPs)
  • Develop and maintain data pipelines, inference workflows, and automation components
  • Continuously learn and apply emerging technologies
  • Contribute to a culture of innovation and continuous improvement

Requirements For Machine Learning Engineer

Python
  • Proven experience in AI/ML solution development
  • Strong programming skills in Python
  • Demonstrated ability to use SQL for complex data tasks
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Analytical thinking and problem-solving skills
  • Excellent communication skills
  • Proactive mindset and eagerness to learn

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Healthcare benefits
  • Retirement planning
  • Paid volunteering days
  • Wellbeing initiatives