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# Senior Machine Learning Scientist (London)

- **Company:** Officesworking Policyfin
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Machine Learning, Natural Language Processing, Reinforcement Learning, Deep Learning
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-machine-learning-scientist-london/47475418

## About the Role

researchDeeply understand the problem areaResearch and identify the right algorithms and toolsBe pragmatic, but innovate to the cutting-edge when neededPerform offline evaluation to gather evidence an algorithm will workWork with engineers to bring prototypes to productionPlan, measure & socialize learnings to inform iterationPartner deeply with the rest of team, and others, to build excellent ML productsWhat skills might I need?Broad applied machine learning knowledge3-5 years applied ML experiencePractical stats knowledge (experiment design, dealing with confounding, etc.)Strong communication skills, both within engineering teams and across disciplinesComfort with ambiguityTypically have advanced education in ML or related field (e.g. MSc)Scientific thinking skillsTrack record shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong

## Description

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. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.What will I be doing?Identify areas where ML can create value for our customersIdentify the right ML framing of product problemsWork with teammates and Product and Design stakeholdersConduct exploratory data analysis and


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