Who we are
We’re the people behind global loyalty currency, Avios, and home to three ambitious, growing businesses;IAG Loyalty,British Airways HolidaysandThe Wine Flyer. Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers.
We’re on a truly exciting journey of growth and transformation – we’re going places! 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're therefore looking for an experienced senior Machine Learning Engineer who is capable of leading a small team and scaling 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 the Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll design and implement the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you will 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 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.
And in return? You'll get access to a whole host of travel, Avios, healthcare benefits and more.Find out more here.
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.
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