Senior AI Platform Engineer

London, 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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About US

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. In collaboration with Microsoft, this team focuses on building, developing, and supporting our Azure cloud platforms to accelerate the time-to-market of innovative finance products. As part of the AI Platform Engineering squad, you will implement, optimise and scale innovative AI workloads across LSEG.

  • Design and build AI tools and products to improve developer experience.
  • Perform POVs and POCs of the emerging AI/GenAI technologies to determine the business value they add to LSEG.
  • Mentor and guide junior AI engineers and application teams, encouraging best practices in consumption of Azure AI and Data services.
  • Work alongside architects, developers and other engineers to ensure efficient Azure AI services and models are designed and consumed aligned to LSEG's Enterprise Scale Landing Zone.
  • Stay up to date with the latest advancements in AI to enable application teams to build innovative products.
  • Implement best practices for data quality, security, and compliance.
  • Ensure knowledge articles of all supported systems are continually updated.

Candidate Profile / Key Skills

Tech Profile/Essential Skills

  • Hands on experience in developing and implementing AI and Data cloud solutions.
  • Experience working with Azure AI services (or AWS, GCP) and AI model deployment.
  • Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
  • Understanding of the AI application lifecycle, including application prototyping, productionising and monitoring.
  • Python / Go / R.
  • Problem solving skills.
  • Strong written and verbal communication skills.

Preferred Skills and Experience

  • Working knowledge of DevOps practices, including CI/CD pipelines, automated testing and agile methodologies.
  • Proficiency in infrastructure as code (IaC) using tools like Terraform.
  • Experience with MLOps tools, frameworks and practices.

Education and Professional Skills

Nice to have relevant Professional qualifications, such as;

  • Azure AI Engineer Associate
  • Azure Data Scientist Associate
  • Or equivalent certs with AWS / GCP

What you’ll get in return:

  • High-impact projects: We work on a variety of projects that drive innovation and enable LSEG to unlock the full potential of AI.
  • Competitive benefits: We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
  • Career progression: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

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 AWS Azure CI/CD Data quality DevOps Engineering Finance GCP Generative AI LLMs Machine Learning MLOps Model deployment NLP Pipelines Privacy Prototyping Python PyTorch R Security TensorFlow Terraform Testing

Perks/benefits: Career development Competitive pay Health care

Region: Europe
Country: United Kingdom

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