Senior Machine Learning Scientist

🕒 April 8

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Chattermill

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $26M Series B - Chattermill on 2022-12

Artificial Intelligence • SaaS • B2B

Chattermill is a customer experience (CX) intelligence platform that unifies feedback from surveys, reviews, support tickets, social, and voice calls and applies AI to surface prioritized, evidence-backed insights. Its AI-powered analytics automatically tags, clusters and summarizes unstructured feedback so CX, Product and Support teams can diagnose root causes, prioritize fixes, and measure impact on metrics like NPS and CSAT. The platform is delivered as a cloud SaaS product for customer-centric teams and enterprises.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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