Senior Machine Learning Scientist

🕒 vor 4 Monaten

🌐 Vereinigtes Königreich, Polen – Remote

info

⏰ Vollzeit

🟠 Senior

🤖 Machine-Learning-Entwickler

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Chattermill

51 - 200 Mitarbeiter

Gegründet 2015

🤖 Künstliche Intelligenz

☁️ SaaS

🤝 B2B

💰 €26.000.000 Series B - Chattermill im 2022-12

Artificial Intelligence • SaaS • B2B

Chattermill ist eine Plattform zur Kunden-Erlebnis-Intelligenz (CX), die Feedback aus Umfragen, Bewertungen, Support-Tickets, sozialen Medien und Sprach-Anrufen vereint und KI anwendet, um priorisierte, beleggestützte Einblicke zu bieten. Die KI-gestützte Analytik kennzeichnet, gruppiert und fasst unstrukturiertes Feedback automatisch zusammen, sodass CX-, Produkt- und Support-Teams Ursachen diagnostizieren, Korrekturen priorisieren und den Einfluss auf Kennzahlen wie NPS und CSAT messen können. Die Plattform wird als Cloud-SaaS-Produkt für kundenorientierte Teams und Unternehmen bereitgestellt.

Beschreibung

• Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. • Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. • Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. • Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. • Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. • Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. • Mentor team members, review code and research, and bring relevant advances from the literature into the product.

🎯 Anforderungen

• A deep working knowledge of transformer architectures. • Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA • Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. • Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools • A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. • Practical experience building with GenAI and agentic patterns. • Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). • Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. • High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward.

🏖️ Vorteile

• Monthly Health & Wellness budget, increasing with length of service • Annual Learning and Development budget, increasing with length of service • Flexible working in a choice-first environment - we trust the way you want to work! • Work From Home Allowance • 25 Holiday Days + your local bank holidays, plus an extra day for every year of service • Your birthday off • Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave • Optional Healthcare Plan • Life & income protection (Location dependent) • Employee Assistance Programme (UK Only) • The opportunity to share in the company’s success through options • If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

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