Who we are Were the people behind global loyaltycurrency, Avios, and home to three ambitious, growing businesses;IAG Loyalty, BA Holidays and The Wine Flyer. Each business has itsown goals and strategy, but collectively we create brilliantexperiences for our global customers. Were on a truly excitingjourney of growth and transformation - were going places! This iswhere you come in. The opportunity Youll be joining our DataProducts team, working closely with teams that are aligned to valuestreams. Our team exists to drive success across Commercial,Customer, Finance and Product domains. Were on a mission to makeour data available and usable in one place to deliver powerful datasolutions that optimise performance and superchargedecision-making. Were putting data at the heart of what we do todeliver super experiences to our customers and colleagues withmachine learning (ML) foundational to this mission. We are lookingto embed a centralised AI / ML platform to make our colleagueslives easier when creating value for the company in a standardisedway. This platform will enable safe, efficient and reliabletraining and deployment of ML models. We are looking for anexperienced ML Engineer to help us scale our capabilities to meetthe needs of our team and our companys goals. Youll enjoy operatingin a hybrid data science / ML engineering space, with an interestin platform / operations. You will be joining in the early stagesof our journey as we build out the infrastructure, tools andprocesses. Were migrating to Snowflake platform along with othertooling as part of the modern data stack such as AWS (SageMaker).In this role, you will be using ground-breaking technology to buildand support world-class AI-based products, batch in the near term,and real-time in the future. What youll get up to * Contribute tothe design, development, and deployment of our ML platform * Defineand implement best practices for training, evaluating, anddeploying machine learning models at scale * Collaborate withsoftware engineers, data engineers, and data scientists to developend-to-end AI products & solutions * Extend and maintain ourself-service platform to help our data science teams quicklyproductionise models following MLOps best practices What we needfrom you * Hands-on experience in data science and machine learningengineering, with a proven track record from design to deployment.* Extensive knowledge of software development with Python, SOLIDprinciples * Understanding of machine learning techniques, such assupervised and unsupervised learning, MLOps, and data engineering *Infrastructure as Code - Terraform or equivalent * Practicalknowledge of AWS, Snowflake, GCP or Azure * Experience with orequivalent to Snowflake Cortex / AWS Bedrock, AWS MSK, SnowpipeStreaming, Snowpark Container Services The role has a blended base,between our Central London office and home. We trust you to makethe right decision about the type of work that is best done in eachlocation. We expect youll achieve a 50/50 split between the two andthere may be times where youll want to visit our other locations totell their stories, too (fully reimbursed). We might not be rightfor you if: * You value perfection over fast iteration andprogress; IAG Loyalty moves fast, we learn and iterate as we go;our environment isnt right for everyone. If you think you have whatit takes but dont meet every single point above, please do stillapply. Wed love to chat and see if you could be a great fit. And inreturn? Youll get access to a whole host of travel, Avios,healthcare benefits and more. Find out more here. Equity, Diversityand Inclusion at IAG Loyalty Our vision, to create the worlds mostrewarding experiences, applies not only to our customers but forour colleagues too. Its about taking belonging seriously, activelyfostering a culture where everyone feels welcomed and valued byembracing diverse identities, personal histories, and perspectives.This commitment makes IAG Loyalty a rewarding place to work andenhances our ability to solve complex problems, drive innovation,and better serve our customers and communities. Please let us knowif we can make any reasonable adjustments to support your interviewprocess with us. J-18808-Ljbffr
