About the role
Mimica is hiring a Machine Learning Engineer / Data Scientist for its Data Intelligence team, which turns raw recorded activity into clean, structured, anonymized data. The role focuses on improving production machine learning pipelines and the quality, cost, and reliability of LLM-powered workflows. You will build evaluation datasets, metrics, benchmarks, and LLM-as-a-judge systems, then run experiments on prompts, models, and pipeline design.
The position combines applied research with production engineering. You will investigate messy data, assess model options, improve anonymization, and work with Python and quality engineers to ship validated changes. Mimica seeks someone with a machine learning or data science background, production or near-production LLM evaluation experience, strong Python skills, and the ability to work independently on ambiguous problems. The role is fully remote for candidates based in the UK or Europe, within time zones compatible with London.
Highlights
- Own and improve production ML pipelines for accuracy and efficiency.
- Build LLM evaluations, benchmarks, datasets, and quality metrics.
- Explore model efficiency, including smaller task-specific models.
- Remote eligibility covers the UK and Europe.
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