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Senior Lead Machine Learning Engineer

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HaystackWashington, DCJune 23rd, 2026

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We're working with a leading financial institution that leverages cutting-edge technology and data to deliver innovative products and services to millions of customers. They are seeking a talented technologist to join their team focused on productionizing machine learning applications and systems at scale.The Role Design, build, and deliver ML models and components to solve real-world business problems Inform ML infrastructure decisions using expertise in ML modeling techniques and issues Develop and validate ML models, automate tests, and deploy applications Collaborate with cross-functional Agile teams to enhance big data and ML applications Retrain, maintain, and monitor models in production Leverage and build cloud-based architectures to deliver optimized ML models at scaleWhat You'll Need At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Bachelor's Degree in a relevant field Experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow is a plusWhat's On Offer Opportunity to work with a modern technology stack including Python and Kubernetes Chance to create high-impact infrastructure supporting millions of customers Collaborative and agile working environment Comprehensive, competitive, and inclusive benefits packageApply via Haystack today!