LSEG
Lead DevOps ML Engineer, Cloud Products and Patterns
LSEG, Saint Louis, Missouri, United States, 63146
Overview
Lead DevOps ML Engineer, Cloud Products and Patterns role at LSEG. Join to apply for the Lead DevOps ML Engineer, Cloud Products and Patterns role at LSEG. About us
LSEG (London Stock Exchange Group) is a diversified global financial markets infrastructure and data business. We empower businesses and economies around the world to fund innovation, manage risk and create jobs, with a long-standing history and a global presence across financial markets. Role summary
As a Machine Learning DevOPS Engineer for the Cloud Products Framework group within our Infrastructure & Cloud team, you will evangelize and develop cloud product strategies, solutions, and best practices across the organization to support machine learning capabilities. You will leverage your expertise to ensure strategic alignment, foster innovation, and drive the adoption of cutting-edge cloud technologies. Your leadership and vision will enable developers within LSEG to achieve seamless and efficient cloud infrastructure deployments, ensuring robust, secure and scalable cloud solutions. What youll be doing
Demonstrates an extensive knowledge of technologies and/or thought leadership level of a technology, providing direction, mentoring and advising others on design, development and / or implementation best practice and processes Creates and implements technical solution designs and resolves issues Continues to build and demonstrates a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholders Supports technical roadmaps for the timely implementation of a technical solution strategy Develop technical strategy and research to enhance and scale machine learning related cloud product capabilities on Azure and AWS Design, build, and/or deliver ML models and components that tackle internal use cases Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, and validation Evaluates how new technology or techniques may better implement the strategy, proposes patterns for its use and leads the development of reference code to set a standard Builds strong relationships with internal and external customers, growing own network and collaborating with other teams Communicates complex / technical information clearly and concisely in an audience appropriate format What youll bring
Must have a degree in Computer Science Engineering or equivalent work experience Solid understanding of IAC concepts Experience with Azure and AWS cloud platforms Experience in leading or developing ML solutions Experience in DevOps practices, especially in machine learning model deployment Hands-on experience with CI/CD pipelines, code scanning tools, secrets management, Docker, and programming languages (Java/JavaScript, C#, Python) Experience on any one of - GitHub, GitLab Deep understanding of architecture principles and design methodologies Proven ability to adapt to new technologies and learn quickly Good communication skills and presentation skills Experience in Agile/Scrum methodology Equal opportunity and privacy
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Please read the privacy notice carefully to understand what personal information London Stock Exchange Group (LSEG) may hold about you, how it7s used, and your rights. If you are submitting through a recruitment agency, ensure candidates are aware of this privacy notice.
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Lead DevOps ML Engineer, Cloud Products and Patterns role at LSEG. Join to apply for the Lead DevOps ML Engineer, Cloud Products and Patterns role at LSEG. About us
LSEG (London Stock Exchange Group) is a diversified global financial markets infrastructure and data business. We empower businesses and economies around the world to fund innovation, manage risk and create jobs, with a long-standing history and a global presence across financial markets. Role summary
As a Machine Learning DevOPS Engineer for the Cloud Products Framework group within our Infrastructure & Cloud team, you will evangelize and develop cloud product strategies, solutions, and best practices across the organization to support machine learning capabilities. You will leverage your expertise to ensure strategic alignment, foster innovation, and drive the adoption of cutting-edge cloud technologies. Your leadership and vision will enable developers within LSEG to achieve seamless and efficient cloud infrastructure deployments, ensuring robust, secure and scalable cloud solutions. What youll be doing
Demonstrates an extensive knowledge of technologies and/or thought leadership level of a technology, providing direction, mentoring and advising others on design, development and / or implementation best practice and processes Creates and implements technical solution designs and resolves issues Continues to build and demonstrates a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholders Supports technical roadmaps for the timely implementation of a technical solution strategy Develop technical strategy and research to enhance and scale machine learning related cloud product capabilities on Azure and AWS Design, build, and/or deliver ML models and components that tackle internal use cases Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, and validation Evaluates how new technology or techniques may better implement the strategy, proposes patterns for its use and leads the development of reference code to set a standard Builds strong relationships with internal and external customers, growing own network and collaborating with other teams Communicates complex / technical information clearly and concisely in an audience appropriate format What youll bring
Must have a degree in Computer Science Engineering or equivalent work experience Solid understanding of IAC concepts Experience with Azure and AWS cloud platforms Experience in leading or developing ML solutions Experience in DevOps practices, especially in machine learning model deployment Hands-on experience with CI/CD pipelines, code scanning tools, secrets management, Docker, and programming languages (Java/JavaScript, C#, Python) Experience on any one of - GitHub, GitLab Deep understanding of architecture principles and design methodologies Proven ability to adapt to new technologies and learn quickly Good communication skills and presentation skills Experience in Agile/Scrum methodology Equal opportunity and privacy
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Please read the privacy notice carefully to understand what personal information London Stock Exchange Group (LSEG) may hold about you, how it7s used, and your rights. If you are submitting through a recruitment agency, ensure candidates are aware of this privacy notice.
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