Machine Learning Engineer

London Stock Exchange Group; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group is seeking a Machine Learning Engineer to design, develop, and deploy AI-powered solutions within the Innovation & Intelligence team. You will collaborate with data scientists, engineers, and business stakeholders to deliver measurable value across the full lifecycle, from exploration to deployment and monitoring.

The role emphasizes hands-on ML, NLP and generative AI, with a focus on building data pipelines and production-ready solutions in a collaborative, inclusive

Qualifications

• Essential Experience developing, implementing, or supporting machine learning, artificial intelligence, or advanced analytics solutions.
• Proficiency in Python and familiarity with software engineering best practices.
• Experience working with SQL and data-driven applications.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Understanding of machine learning lifecycle management, model deployment, and MLOps practices.
• Analytical thinking skills with the ability to solve complex business and technical problems.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience collaborating effectively within cross-functional teams.
• A growth mindset with a passion for learning and applying new technologies.

Responsibilities

• Design, develop, and deploy machine learning and AI-powered solutions that address business challenges and deliver measurable outcomes.
• Partner with business, operations, and technology teams to understand opportunities and translate requirements into scalable solutions.
• Develop, evaluate, and refine proof-of-concepts, prototypes, and minimum viable products (MVPs) to validate ideas and accelerate innovation.
• Build and maintain data pipelines, model inference pipelines, and automation workflows that support production-ready AI solutions.
• Apply machine learning, information retrieval, natural language processing, and generative AI techniques to improve business processes and user experiences.
• Contribute to engineering best practices including testing, monitoring, documentation, security, and continuous improvement.
• Collaborate effectively with colleagues across functions to share knowledge, solve problems, and deliver high-quality outcomes.
• Continuously learn and explore emerging technologies, tools, and techniques in artificial intelligence, machine learning, cloud computing, and automation.

Skills

Python

SQL

Cloud platforms

MLOps

NLP

Generative AI

Communication

Tools

Docker

Kubernetes

Job description

About the Role

At LSEG, we are building AI-powered solutions that help teams solve meaningful operational and business challenges. We are looking for a Machine Learning Engineer who is curious, collaborative, and excited to apply machine learning and generative AI to real-world business problems. As part of our Innovation & Intelligence team, you will work alongside data scientists, engineers, product teams, and business stakeholders to design and deliver AI solutions that create measurable value. You will contribute across the full solution lifecycle, from exploration and experimentation through deployment, monitoring, and continuous improvement. We welcome candidates from a variety of backgrounds and experiences. Whether your expertise comes from industry projects, research, academic work, open-source contributions, hackathons, or personal initiatives, we encourage you to apply.

About the Team

The Innovation & Intelligence team applies artificial intelligence, machine learning, advanced analytics, and automation to improve processes, enhance decision-making, and strengthen customer outcomes . We believe innovation comes from diverse experiences, perspectives, and ideas. Every team member is encouraged to contribute, learn, challenge assumptions, and help shape solutions that solve real business problems. We are committed to creating an inclusive environment where everyone can thrive, grow their skills, and make an impact. We welcome applications from candidates of all backgrounds and experiences.

Key Responsibilities

• Design, develop, and deploy machine learning and AI-powered solutions that address business challenges and deliver measurable outcomes.
• Partner with business, operations, and technology teams to understand opportunities and translate requirements into scalable solutions.
• Develop, evaluate, and refine proof-of-concepts, prototypes, and minimum viable products (MVPs) to validate ideas and accelerate innovation.
• Build and maintain data pipelines, model inference pipelines, and automation workflows that support production-ready AI solutions.
• Apply machine learning, information retrieval, natural language processing, and generative AI techniques to improve business processes and user experiences.
• Contribute to engineering best practices including testing, monitoring, documentation, security, and continuous improvement.
• Collaborate effectively with colleagues across functions to share knowledge, solve problems, and deliver high-quality outcomes.
• Continuously learn and explore emerging technologies, tools, and techniques in artificial intelligence, machine learning, cloud computing, and automation.

Required Skills and Experience

• Essential Experience developing, implementing, or supporting machine learning, artificial intelligence, or advanced analytics solutions.
• Proficiency in Python and familiarity with software engineering best practices.
• Experience working with SQL and data-driven applications.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Understanding of machine learning lifecycle management, model deployment, and MLOps practices.
• Analytical thinking skills with the ability to solve complex business and technical problems.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience collaborating effectively within cross-functional teams.
• A growth mindset with a passion for learning and applying new technologies.

Preferred Experience

• Experience working with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, or agent-based AI systems.
• Exposure to model monitoring, observability, AI governance, and responsible AI practices.
• Knowledge of APIs, containerization technologies, CI/CD pipelines, and modern software development practices.
• Experience delivering AI or data science solutions in an enterprise environment.
• Familiarity with information retrieval, search technologies, and knowledge management solutions.

What We Offer

The opportunity to work on high-impact AI and machine learning solutions used across a global organization. Exposure to cutting-edge technologies including Generative AI, Agentic AI, Machine Learning, and Intelligent Automation. Collaboration with experienced data scientists, engineers, architects, and business leaders. Continuous learning and professional development opportunities. An inclusive and supportive environment where diverse perspectives are valued and innovation is encouraged. The opportunity to make a measurable impact on business outcomes and customer experiences at scale.

Career Stage: Senior Associate

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.