Job description

About us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG. Our people: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. Role summary: As a Machine Learning DevOPS Engineer for Cloud Products Framework group within our Infrastructure & Cloud team, you will play a crucial role in evangelizing and developing cloud product strategies, solutions, and best practices across the organization primarily 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 empower developers within LSEG to achieve seamless and efficient cloud infrastructure deployments, ensuring robust, secure and scalable cloud solutions What you ll 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 you ll bring: Must have a degree in Computer Science Engineering or equivalent work experience Solid understanding of IAC concepts Experience with Azure and AWS cloud platform 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 Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you re ready to take your career to the next level and make a significant impact, we d love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s 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. Conforming with applicable law, we can reasonably accommodate applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Requirements

Must-haves

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 you ll bring: Must have a degree in Computer Science Engineering or equivalent work experience
Solid understanding of IAC concepts
Experience with Azure and AWS cloud platform
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
Join us and be part of a team that values innovation, quality, and continuous improvement. If you re ready to take your career to the next level and make a significant impact, we d love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Nice-to-haves

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Keywords to mirror

machine learningazureawsmlci/cddockerjavajavascriptpythonagilescrumgo

Platform: workday
Effort: long

Benefits

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Vision