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2 data engineering jobs found in London

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Full time  (2)
Push Gaming
04/02/2026
Full time
Analytics Manager (Data Engineering & AI)
Push Gaming East Road, London N1 6AD, UK
Analytics Manager (Data Engineering & AI) Push Gaming is a dynamic and innovative iGaming development studio specialising in creating top-quality, mobile‑optimised online casino games. With a passion for gaming and a commitment to pushing boundaries, we are dedicated to delivering exceptional experiences to players worldwide. We are looking for an experienced and collaborative Analytics Manager (Data Engineering & AI) to lead our data engineering and AI initiatives. This role will own the design, delivery, and operationalisation of data platforms, pipelines and machine learning solutions that power business insights, product intelligence and personalised player experiences. This is a hybrid leadership position designed for a highly technical visionary. You will bridge the gap between complex data engineering, advanced analytics, and executive decision-making. As a PhD-level expert, you will not just manage a team; you will architect the future of our data...
Luminance Technologies
03/02/2026
Full time
Senior Machine Learning Engineer
Luminance Technologies London, UK
About us Mavenoid is the Intelligent Support Platform for products and devices. Our purpose-built technology delivers best-in-class customer support with intelligent troubleshooting and personalized remote support. Our product provides manufacturers and sellers genius-level customer support while reducing costs. Having raised our Series B, we’re in an exciting phase of growth but are still small enough for each new person to have a big impact on the company as a whole. We were founded in Stockholm, Sweden, but now operate globally as a remote-first company, with team members located across Sweden, the United Kingdom, the United States, and more. The role You will be part of the ML team at Mavenoid, shaping the next product features to help people around the world get better support for their hardware devices. The core of your work will be to understand users’ questions and problems to fill the semantic gap. The incoming data consists mostly of textual...
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