Senior Machine Learning Scientist
New
C
ChattermillData Science
UK or Poland (Remote or Hybrid, it’s up to you!)Full-TimeSenior
SalaryDependent on experience
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Job Details
- Required Skills
- Machine LearningPyTorchNLPLLMGenerative AI
Requirements
- Deep working knowledge of transformer architectures.
- Strong PyTorch skills, including writing custom training loops, modifying architectures, and debugging at the tensor level.
- Experience with parameter-efficient fine-tuning techniques such as LoRA.
- Extensive experience working with large-scale, real-world text data (classification, extraction, embeddings, re-rankers, clustering, and search).
- Experience in instruction fine-tuning and serving language models.
- Familiarity with frameworks such as vLLM or DeepSpeed.
- Solid grounding in classical ML and statistics.
- Practical experience building with GenAI and agentic patterns.
- Excellent communication skills for translating complex technical concepts.
- MSc or PhD in Computer Science, Machine Learning, AI, Data Science, or Computational Linguistics is a bonus.
- Experience with reinforcement learning techniques such as RLVR is a bonus.
Responsibilities
- Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning 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, including retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation.
- Design and run robust evaluation frameworks, including building test sets, defining metrics, and automating checkpoint comparisons.
- Improve and extend semantic search and retrieval methods.
- Write production-quality code and collaborate with Engineering on productionisation, model serving, and data monitoring.
- Work with Product and Commercial teams to translate business needs into practical ML solutions.
- Mentor team members and incorporate advances from literature into the product.
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