
Data Scientist
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in United Kingdom.
• Train, assess, and refine machine learning models for customer feedback initiatives, contributing to our tailored fine-tuning processes and conducting experiments with diligence and comprehensive documentation.
• Develop and sustain LLM-driven features such as retrieval pipelines, reranking systems, and insight generation, with guidance and support from senior team members.
• Participate in evaluation frameworks: assist in creating test sets, defining metrics, and evaluating model performance across classification, extraction, and generative tasks.
• Engage in semantic search and retrieval, gaining a robust understanding of embedding-based methods and exploring advanced techniques.
• Produce clean, thoroughly tested code while collaborating with Engineering on model integration, data pipelines, and monitoring activities.
• Collaborate with the broader Data Science team to translate business and product needs into actionable ML experiments and solutions.
• Keep abreast of pertinent research and introduce valuable concepts from literature into team discussions and experimental setups.
• Strong practical understanding of transformer architectures and their applications in NLP tasks.
• Expertise in PyTorch, including training loops and standard model fine-tuning processes; familiarity with parameter-efficient techniques like LoRA is advantageous.
• Experience handling real-world text data across various tasks such as classification, extraction, embeddings, or search at a significant scale.
• Some experience with instruction fine-tuning or model serving, with a readiness to delve deeper.
• A foundation in traditional machine learning and statistics, coupled with the inclination to utilize simpler methods when appropriate.
• Awareness of GenAI and agentic patterns, even if your hands-on production experience is still evolving.
• Strong communication abilities and the capacity to articulate technical work to colleagues from different functions.
• A genuine interest in AI and a propensity for experimentation — you learn best through practical application.
• Excellent ownership qualities: you pursue issues to resolution rather than passing them along.
• Flexible working in a choice-first environment - we trust the way you want to work!
• Work-from-home allowance to set up your ideal workspace.
• 25 days of holiday plus local bank holidays, and an additional day for each year of service.
• Your birthday off.
• Annual learning and development budget to support your growth, which increases over time.
• Equity options — participate in the company’s success.
• Monthly health and wellbeing budget, which increases with length of service.
• Optional private healthcare plan.
• Life assurance and income protection (dependent on location).
• Employee Assistance Programme (dependent on location) for additional support when needed.
• Enhanced family leave (dependent on location), plus fertility and neonatal leave.
• If you’re based in London, enjoy a dog-friendly office with excellent classes, events, and a rooftop terrace.
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