Lead Machine Learning Engineer (3 Days Left)

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 You'll 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. We're on a mission to makeour data available and usable in one place to deliver powerful datasolutions that optimise performance and superchargedecision-making. We're 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' liveseasier when creating value for the company in a standardised way.This platform will allow safe, efficient, and reliable MLOps. We'retherefore 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 company's goals.You'll be joining in the early stages of our journey as we buildout the team. We're migrating to the Snowflake platform along withother tooling as part of the modern data stack such as AWS(Sagemaker). You'll design and implement the infrastructure andtools that enable the development and deployment of machinelearning models. In this role, you will be using ground-breakingtechnology on the Snowflake platform to build and supportworld-class ML systems, both batch and real-time. Your role will bepart people manager, part individual contributor – you'll bethinking strategically about what we need and building the platformout. What you'll get up to - Leading a small team to build out theML platform and focus on what matters - Contribute to the design,development, and deployment of our ML platform - Define andimplement best practices for training, evaluating, and deployingmachine learning models at scale - Collaborate with softwareengineers, data engineers, and data scientists to developend-to-end ML solutions - Extend and maintain our self-serviceplatform to help our data science teams quickly productionise MLmodels following MLOps best practices What we need from you -Hands-on experience in machine learning engineering, with a proventrack record of designing and deploying large-scale machinelearning systems - Extensive knowledge of software development withPython, SOLID principles - Understanding of machine learningtechniques, such as supervised and unsupervised learning, MLOps,and data engineering - Infrastructure as Code - Terraform orequivalent - Practical knowledge of AWS, Snowflake, GCP, AWS orAzure - Experience with or equivalent to: Vertex, Dataflow, CloudRun, BigQuery, Datastore, Cloud Storage, Cloud Functions andPubSub, Snowflake Cortex / AWS Bedrock, AWS MSK, SnowpipeStreaming, Snowpark Container Services We might not be right foryou if: - You value perfection over fast iteration and progress;IAG Loyalty moves fast, we learn and iterate as we go; ourenvironment isn't right for everyone. If you think you have what ittakes but don't meet every single point above, please do stillapply. We'd love to chat and see if you could be a great fit. Andin return? You'll 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 world'smost rewarding experiences,' applies not only to our customers butfor our colleagues too. It's about taking belonging seriously,actively fostering a culture where everyone feels welcomed andvalued by embracing diverse identities, personal histories, andperspectives. This commitment makes IAG Loyalty a rewarding placeto work and enhances our ability to solve complex problems, driveinnovation, and better serve our customers and communities. Pleaselet us know if we can make any reasonable adjustments to supportyour interview process with us. #J-18808-Ljbffr