
1001 - 5000 employees
Founded 2014
☁️ SaaS
🤝 B2B
📱 Media
💰 $235M Private Equity Round - StackAdapt on 2025-02
SaaS • B2B • Media
StackAdapt is an AI-powered programmatic marketing platform and demand-side platform (DSP) that helps advertisers, agencies, and brands plan, execute, and optimize multi-channel digital advertising campaigns. The platform uses machine learning and first‑party data to provide advanced audience targeting, contextual and location-based targeting, creative optimization, and real-time campaign analytics across channels like connected TV, display, native, video, audio, in-game, digital out-of-home, and email. StackAdapt offers enterprise-grade solutions, client services, an API, and tools for creatives and reporting to support full-funnel advertising at scale.
🕒 March 24
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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1001 - 5000 employees
Founded 2014
☁️ SaaS
🤝 B2B
📱 Media
💰 $235M Private Equity Round - StackAdapt on 2025-02
SaaS • B2B • Media
StackAdapt is an AI-powered programmatic marketing platform and demand-side platform (DSP) that helps advertisers, agencies, and brands plan, execute, and optimize multi-channel digital advertising campaigns. The platform uses machine learning and first‑party data to provide advanced audience targeting, contextual and location-based targeting, creative optimization, and real-time campaign analytics across channels like connected TV, display, native, video, audio, in-game, digital out-of-home, and email. StackAdapt offers enterprise-grade solutions, client services, an API, and tools for creatives and reporting to support full-funnel advertising at scale.
• Design modular and scalable real time data pipelines to handle huge datasets • Understand and implement custom ML algorithms in a low latency environment • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
• Have the ability to take an ambiguously defined task, and break it down into actionable steps • Have deep understanding of algorithm and software design, concurrency, and data structures • Experience in implementing probabilistic or machine learning algorithms • Interest in designing scalable distributed systems • A high GPA from a well-respected Computer Science program • Enjoy working in a friendly, collaborative environment with others
• Highly competitive salary • Retirement/ 401K/ Pension Savings globally • Competitive Paid time off packages including birthday's off! • Access to a comprehensive mental health care program • Health benefits from day one of employment • Work from home reimbursements • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto • Robust training and onboarding program • Coverage and support of personal development initiatives (conferences, courses, books etc) • Access to StackAdapt programmatic courses and certifications to support continuous learning • An awesome parental leave program • A friendly, welcoming, and supportive culture • Our social and team events!
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