ML Platform Engineer with Data Science Expertise

4 weeks ago


London, Greater London, United Kingdom IAG Loyalty Full time
Unlock Career Opportunities at IAG Loyalty

We're a leading airline group, home to three ambitious businesses: IAG Loyalty, BA Holidays, and The Wine Flyer. Our vision is to create rewarding experiences for our customers and colleagues alike.

This role offers a unique blend of data science and machine learning engineering, where you'll design, develop, and deploy an AI/ML platform that simplifies value creation for the company. Your expertise will help us scale our capabilities, enabling safe, efficient, and reliable training and deployment of ML models.

As an experienced ML engineer, you'll collaborate with software engineers, data engineers, and data scientists to develop end-to-end AI products & solutions. You'll extend and maintain our self-service platform, following MLOps best practices, and ensure seamless productionization of models. Your hands-on experience in data science and machine learning will drive innovation and problem-solving within our hybrid data science/ML engineering space.

The role has a blended base between Central London and remote work, allowing you to strike a perfect balance between collaboration and flexibility. With our colleague-led networks and Equity, Diversity, and Inclusion agenda, you'll find numerous opportunities to share your passions and voice.

We offer an estimated salary range of £80,000 - £110,000 per annum, depending on your experience. Additionally, you'll enjoy
  • One non-contractual Annual Bookable Travel Concession for you, your partner, and dependants after 12 months' service.
  • Annual Bonus (dependent on company and individual performance).
  • Company pension of 9% (6% contribution from IAGL, 3% employee contribution).
  • 25 days annual leave, + 2 days charity leave, and a day off on your birthday.
, and much more.

Grow with Us:
IAG Loyalty values diversity, equity, and inclusion, making it an exciting place to grow your career. Join our community and contribute to creating rewarding experiences for our customers and colleagues.

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