Lead Machine Learning Engineer

Who we are We’re the people behind global loyaltycurrency, Avios, and home to three ambitious, growing businesses;IAG Loyalty,British Airways Holidays and The Wine Flyer. Eachbusiness has its own goals and strategy, but collectively we createbrilliant experiences for our global customers. We’re on a trulyexciting journey of growth and transformation – we’re going places!This is where you come in. The opportunity Youll be joining ourData Products team, working closely with teams that are aligned tovalue streams. 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 need toembed a centralised ML platform to make our colleagues lives easierwhen creating value for the company in a standardised way. Thisplatform will allow safe, efficient, and reliable MLOps. Weretherefore looking for an experienced senior Machine LearningEngineer who is capable of leading a small team and scaling our MLcapabilities to meet the needs of our team and our companys goals.Youll be joining in the early stages of our journey as we build outthe team. Were migrating to the Snowflake platform along with othertooling as part of the modern data stack such as AWS (Sagemaker).Youll design and implement the infrastructure and tools that enablethe development and deployment of machine learning models. In thisrole, you will be using ground-breaking technology on the Snowflakeplatform to build and support world-class ML systems, both batchand real-time. Your role will be part people manager, partindividual contributor – youll be thinking strategically about whatwe need and building the platform out. What youll get up to *Leading a small team to build out the ML platform and focus on whatmatters * Contribute to the design, development, and deployment ofour ML platform * Define and implement best practices for training,evaluating, and deploying machine learning models at scale *Collaborate with software engineers, data engineers, and datascientists to develop end-to-end ML solutions * Extend and maintainour self-service platform to help our data science teams quicklyproductionise ML models following MLOps best practices What we needfrom you * Hands-on experience in machine learning engineering,with a proven track record of designing and deploying large-scalemachine learning systems * Extensive knowledge of softwaredevelopment with Python, SOLID principles * Understanding ofmachine learning techniques, such as supervised and unsupervisedlearning, 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, CloudFunctions and PubSub, Snowflake Cortex / AWS Bedrock, AWS MSK,Snowpipe Streaming, Snowpark Container Services We might not beright for 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