Senior Machine Learning Engineer II
Carta - London, England, United Kingdom
Posted Mar 19, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Senior Machine Learning Engineer II London, England, United Kingdom The Company You'll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta's platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta's Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don't work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta's software for the Office of the Fund CFO does just that - it's a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new
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