{"schemaVersion":"jobsearcher.job.v1","id":"aae8588e8fe45b01b5a566b1","url":"https://jobsearcher.com/jobs/aae8588e8fe45b01b5a566b1","canonicalUrl":"https://jobsearcher.com/jobs/aae8588e8fe45b01b5a566b1","title":"Senior Lead Machine Learning Engineer","description":"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!","company":"Haystack","rawCompany":"haystack","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-06-23T11:21:01.155Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Lead Machine Learning Engineer","description":"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!","datePosted":"2026-06-23T11:21:01.155Z","dateModified":"2026-06-23T11:21:01.155Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aae8588e8fe45b01b5a566b1"},"url":"https://jobsearcher.com/jobs/aae8588e8fe45b01b5a566b1"}}