We're the people behind global loyalty currency, Avios, and home to three ambitious, growing businesses; Loyalty, Holidays and Retail. Each business has its own goals, strategy and team, but collectively we share a purpose to create the world's most rewarding experiences for our customers through loyalty programmes, new products and holidays.
We're on a truly exciting journey of growth and transformation–we're going places! It means we have a fantastic story to tell our people and the rest of the world. This is where you come in.
The opportunity
You'll be joining our Data Products team, working closely with teams that are aligned to value streams. Our team exists to drive success across Commercial, Customer, Finance and Product domains. We're on a mission to make our data available and usable in one place to deliver powerful data solutions that optimise performance and supercharge decision-making.
We're putting data at the heart of what we do to deliver super experiences to our customers and colleagues, with machine learning (ML) foundational to this mission. We need to embed a centralised ML platform to make our colleagues' lives easier when creating value for the company in a standardised way. This platform will allow safe, efficient, and reliable MLOps. We are looking for an experienced ML Platform Lead to lead a small team and scale our ML capabilities to meet the needs of our team and our company's goals.
You'll be joining in the early stages of our journey as we build out the team. We're migrating to Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll be responsible for designing and implementing the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you'll be using ground-breaking technology on the Snowflake platform to build and support world-class ML systems, both batch and real-time.
Your role will be part people manager, part individual contributor–you'll be thinking strategically about what we need and building the platform out.
What you'll get up to
Leading a small team to build out the ML platform and focus on what matters
Contribute to the design, development, and deployment of our ML platform
Define and implement best practices for training, evaluating, and deploying machine learning models at scale
Collaborate with software engineers, data engineers, and data scientists to develop end-to-end ML solutions
Extend and maintain our self-service platform to help our data science teams quickly productionise ML models following MLOps best practices
What we need from you
Hands-on experience in machine learning engineering, with a proven track record of designing and deploying large-scale machine learning systems
Extensive knowledge of software development with Python, SOLID principles
Understanding of machine learning techniques, such as supervised and unsupervised learning, MLOps, and data engineering
Infrastructure as Code - Terraform or equivalent
Practical knowledge of AWS, Snowflake, GCP, AWS or Azure
Experience with some of, or equivalent to:
Vertex, Dataflow, Cloud Run, BigQuery, Datastore, Cloud Storage, Cloud Functions, and PubSub
Snowflake Cortex / AWS Bedrock, AWS MSK, Snowpipe Streaming, Snowpark Container Services
We might not be right for you if:
You value perfection over fast iteration and progress; IAG Loyalty moves fast, we learn and iterate as we go; our environment isn't right for everyone.
If you think you have what it takes but don't meet every single point above, please do still apply. We'd love to chat and see if you could be a great fit.
Equity, Diversity and Inclusion at IAG Loyalty
Our vision, 'to create the world's most rewarding experiences,' applies not only to our customers but for our colleagues too. It's about taking belonging seriously, actively fostering a culture where everyone feels welcomed and valued by embracing diverse identities, personal histories, and perspectives.
This commitment makes IAG Loyalty a rewarding place to work and enhances our ability to solve complex problems, drive innovation, and better serve our customers and communities.
Please let us know if we can make any reasonable adjustments to support your interview process with us.
Core Skills: Machine Learning, Python, AWS, Snowflake, Terraform
Other Skills:
Seniority: Lead
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