Machine Learning Engineer (London)
London, UK
Hybrid / WFH Options
Hybrid / WFH Options
Superduper
direction of our organisation. Key Responsibilities Build and optimize lowlatency, highthroughput APIs that expose realtime token mindshare and sentiment metrics to downstream clients. Design and implement realtime sentimentanalysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with prebuilt services … and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals. Collaborate with cross-functional teams (frontend, design, marketing, product) to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals. Ensure … problem-solver who is eager to innovate and push boundaries in the DeFi space. Deep expertise in data engineering and ML pipelines, with strong understanding of sentiment analysis, topic modeling, and production model deployment Thrives in scrappy start-up environments, seeing ambiguity as an opportunity rather than an obstacle. Comfortable taking ownership of complex problems and transforming More ❯
Employment Type: Full-time
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