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Machine Learning Team Lead Jobs

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Software Architect - ML/AI/Gen AI
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Pakistan , Lahore, Karachi, Islamabad
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10Pearls
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Principal Engineer
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United States , Pleasanton, California
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251000.00 - 314500.00 USD / Year
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BlackLine
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Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
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United Kingdom , Edinburgh
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Amazon Pforzheim GmbH
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AI/ML Technical Lead
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India , Noida
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3Pillar Global
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Director, Applied Science
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United States , Irvine
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220000.00 - 260000.00 USD / Year
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Viant
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Machine Learning Practice Leader
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Provectus
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Generative AI Tech Lead
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Provectus
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ML Tech Lead, GenAI
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Provectus
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Engineering Lead
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United Kingdom , London
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Encord
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Lead Scientist, Pricing
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United States
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Duetto
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SAP AI Lead Consultant
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Poland , Warsaw
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Robert Bosch Sp. z o.o.
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Senior Engineering Manager - AI/ML
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India , Bangalore
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Hewlett Packard Enterprise
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Senior Engineer Manager - AI/ML
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India , Bangalore
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Hewlett Packard Enterprise
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AI Lead Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Lead Director, Data Science
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United States , New York
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141170.00 - 280000.00 USD / Year
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CVS Health
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Data Science Lead
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Spain , Madrid
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Fever
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Principal AI/ML & Innovation Engineer
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Puerto Rico , Aguadilla
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Hewlett Packard Enterprise
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Gen AI Tech Lead
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United States , Atlanta, Georgia; Tampa, Florida
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158400.00 - 237600.00 USD / Year
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Citi
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Lead Technical Program Manager – AI and Data, People Team
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Australia , Sydney
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Atlassian
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Data Science Lead
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India , Pune
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Citi
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Explore the pivotal role of a Machine Learning Team Lead and discover the exciting career opportunities available in this high-impact field. Machine Learning Team Lead jobs represent a unique convergence of deep technical expertise and visionary leadership, sitting at the heart of where innovative AI strategy meets execution. Professionals in this role are responsible for guiding a team of machine learning scientists and engineers to transform complex business objectives into tangible, scalable AI solutions. They are the crucial bridge between executive vision, cross-functional stakeholders, and the technical team, ensuring that machine learning initiatives deliver measurable value. The core responsibilities of a Machine Learning Team Lead are dual-faceted, encompassing both people leadership and technical stewardship. On the leadership front, they are tasked with building, mentoring, and motivating a high-performing team. This involves fostering a culture of innovation and psychological safety, facilitating professional growth, managing workloads, and delegating tasks effectively. They orchestrate the team’s internal dynamics and champion their work externally. Technically, they provide strategic direction, define the team’s roadmap, and oversee the end-to-end development lifecycle of machine learning models—from research and prototyping to deployment and monitoring. They ensure scientific rigor and operational excellence, making critical architectural decisions and balancing ambitious research with robust, production-ready engineering. Typical requirements and skills for these leadership positions are comprehensive. A strong academic background in a quantitative field such as Computer Science, Statistics, or Machine Learning is often expected, frequently accompanied by an advanced degree (MS or PhD) or equivalent industry experience. Candidates must possess a profound, hands-on understanding of machine learning theory, modern software development practices (including MLOps), and cloud computing platforms. Beyond technical prowess, exceptional soft skills are non-negotiable: outstanding communication to translate complex concepts for diverse audiences, proven experience in project management and agile methodologies, and a genuine passion for coaching and developing talent. Successful leads demonstrate strategic thinking, an ability to manage stakeholder expectations, and a knack for prioritizing initiatives that maximize team impact. For those seeking Machine Learning Team Lead jobs, the role offers the challenge of driving the AI frontier while shaping the next generation of talent. It is a career path for those who excel at solving multifaceted problems, inspiring teams, and turning cutting-edge research into real-world applications that define the future of technology.

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