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Best fit if you already lead ML research-to-product work and want a London-based senior scientist seat at intercomreferrals focused on analysis, modeling, and applied innovation rather than pure people management.
As a Senior Machine Learning Scientist at intercomreferrals in London (on-site), a typical day centers on framing hard problems as models, designing software and systems that apply ML, prioritizing experiments, and aligning with managers and partners so research turns into usable technology.
No. The listing is London-based with remote set to off-site not available.
Senior ML science work: modeling problems, applying research methods, and building software that runs those methods—per the O*NET research-scientist family linked above.
No company profile was provided in the source data, so employer history, culture scores, and pay bands cannot be summarized here.
Public-domain labor data — prepare examples for 2–3 of these.
Senior Machine Learning Scientist at intercomreferrals in London The Opportunity Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product-focused team that works closely with Product and Design functions to ensure seamless integration of machine learning solutions into our products. Key Responsibilities Define and implement new ML features for Fin's AI Customer Agent Research and evaluate algorithms and technologies suitable for enhancing customer support Develop prototypes and bring them to production quickly, often shipping beta versions in weeks after successful offline tests Collaborate with Product and Design teams to ensure alignment and user-centric solutions Requirements PhD or Master's degree in Computer Science, Machine Learning, Statistics, or a related field Proven experience as a Machine Learning Scientist or Engineer Strong background in machine learning algorithms and techniques (e.g., deep learning, natural language processing) Experience with Python, R, or similar programming languages for data analysis and model development Knowledge of cloud platforms like AWS, GCP, or Azure is a plus Excellent communication skills to work effectively with cross-functional teams More About intercomreferrals Founded in 2011, Fin became one of the fastest-growing companies and remains one of the largest private software companies in the world. With nearly 30,000 global businesses using our products to transform their customer support, we are driven by core values that push boundaries, build with speed and intensity, and deliver incredible value to customers. Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. We look forward to hearing from you!
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