Senior AI Platform Engineer

Nottingham, United Kingdom

LSEG

LSEG is your trusted global financial markets infrastructure and data provider. Discover how we deliver value for our customers.

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Senior AI Platform Engineer (Azure) – Cloud Productivity & Engineering (CPE)

Company Profile

LSEG (London Stock Exchange Group) is a world-leading financial markets infrastructure and data business.  We are dedicated, open-access partners with a commitment to excellence in delivering services across Data & Analytics, Capital Markets, and Post Trade. 

Backed by three hundred years of experience, innovative technologies, and a team of over 23,000 people in 70 countries, our purpose is driving financial stability, empowering economies, and enabling customers to create sustainable growth.

Role Profile
  • In this role, you'll be joining our Azure Engineering team within Cloud Productivity & Engineering (CPE) as a Senior AI Platform Engineer (Azure). This team focuses on building, developing, and supporting our Azure cloud platforms to accelerate the time-to-market of innovative finance products. In collaboration with Microsoft, we aim to transform how LSEG leverages the cloud platform.
  • Work alongside architects, developers, and other engineers to ensure efficient Azure AI services are designed and consumed aligned to LSEG advanced Enterprise Scale Landing Zone.
  • Defining and implementing measures and dashboards that accurately quantify the value of improvements.

Tech Profile/Essential Skills
  • Hands on experience in designing, developing, and implementing Azure AI and Data service solutions.
  • Can demonstrate deep knowledge in the consumption of Azure Enterprise Scale Landing Zones to build enterprise grade AI solutions to meet all customer demands and requirements.
  • Familiarity with Azure cloud native components.
  • 3+ years’ demonstrable experience with CI/CD pipelines.
  • Proficiency in agile methodologies and CI/CD principles and practices.
  • Proficiency in infrastructure as code (IaC) using tools like Terraform, Azure DevOps, and Gitlab.
  • Ability to communicate effectively with internal customers, team members, and management.
  • Strong written and verbal communication skills.
Preferred Skills and Experience
  • Hands on experience with Azure AI services and data modelling techniques.
  • Experience with one of the following.
    • Python/Go/R
    • ML Ops
  • Proactive incident management with Azure-based problem solving.
  • Sound understanding of financial markets.
  • Adept at collaborating in diverse teams, with excellent communication skills.
  • Previous roles involving AI Platform Engineering, Azure development, and/or DevOps processes.

Education and Professional Skills
  • Relevant Professional qualifications, such as;
    • Azure AI Engineer Associate
    • Azure Data Scientist Associate
  • BS/MS degree in Computer Science, Software Engineering or related STEM degree.

Detailed Responsibilities
  • Mentor and guide junior AI engineers and application teams, encouraging best practices in consumption of Azure AI and Data services.
  • Collaborate with AI & data scientists to design sophisticated AI models using first party products and platforms.
  • Partner with first party product and platform teams to build key capabilities that can be used to create AI Skills, Plugins and Copilot experiences.
  • Optimize AI model performance, scalability, and efficiency.
  • Stay up to date with the latest advancements in AI Platforms, Products and Libraries.
  • Ramp up on latest deep learning model architectures/algorithms, Open AI enhancements and large language models (LLM) directions.
  • Perform POVs and POCs of the emerging AI/Gen AI technologies to determine the business value they add to LSEG
  • Develop and maintain data acquisition pipelines using Azure Data Factory.
  • Implement metadata - driven orchestration pipelines to ensure scalability and flexibility.
  • Develop sophisticated transformation logic in Azure Databricks and other data Azure Data services.
  • Evaluate, propose, and implement relevant tools, technologies, and strategies to improve our end-to-end data, BI, and ML workflows
  • Collaborate with multi-functional teams to understand data requirements and implement solutions accordingly.
  • Optimize and solve existing data pipelines for performance and reliability.
  • Implement best practices for data quality, security, and compliance.
  • To ensure knowledge articles of all supported systems are continually updated. 
  • To provide a high level of customer service, whilst working under pressure. 

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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

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.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Azure CI/CD Computer Science Copilot Databricks Data pipelines Data quality Deep Learning DevOps Engineering Finance Generative AI GitLab LLMs Machine Learning Pipelines Privacy Python R Security STEM Terraform

Perks/benefits: Career development Health care Startup environment

Region: Europe
Country: United Kingdom

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