Senior/Lead Machine Learning Engineer

Job Title: Senior/Lead Machine Learning Engineer Company: Mimica Job Category: Machine Learning Roles & Responsibilities: We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start\-up by Accel and an industry Leader by the Everest Group. Behind our platform is a team of exceptionally talented people, remote\-first and globally distributed across 16\+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast\-paced environment built on high ownership, bottom\-up thinking, and transparent, open communication – helping some of the world's leading organizations transform the way work gets done with AI. * We prioritize customer needs first * We work in small, project\-based teams * We have flexibility in terms of the problems we work on * We own the full lifecycle of our projects * We avoid silos and encourage taking up tasks in new areas * We balance quality and velocity * We have a shared responsibility for our production code * We each set our own routine to maximize our productivity * Own, debug, and improve production pipelines for accuracy and efficiency. * Design, build, and iterate on LLM evals and LLM\-as\-a\-judge systems, including the datasets, metrics, and benchmarks to monitor quality. * Run rigorous experiments on prompts, pipeline design, model choice, and inputs (e.g., OCR text vs. image \+ OCR), and turn the results into clear recommendations. * Drive LLM efficiency improvements across our pipelines by comparing models, restructuring steps, and replacing LLM calls with smaller, purpose\-built models where it makes sense. * Expand our anonymization pipeline, including evaluating and adapting existing models. * Work with Python and quality engineers to take experiments into production, and share responsibility for the code you ship. * Document findings in writing (eg. experiment reports, design docs) Annual learning \& development budget Work Location: London, England, UK Availability: Full time

* Solid machine learning/data science background: you understand experimental design, data splits, metrics, bias, and statistical significance, and you know when a result is real. * Hands\-on experience applying LLMs in production or near\-production settings, especially evaluating them: building eval sets, LLM judges and benchmarks, and iterating on prompts and pipelines against them. * Comfortable getting deep into messy data: exploring it, troubleshooting issues, and transforming insights into measurable improvements. * Strong Python and good engineering skills. You write clear, readable, tested code that others can take to production, even if you’re not the one owning the infrastructure. * Able to work independently on ambiguous problems: framing the question, choosing the approach, and deciding on the acceptance criteria to ship. * Use AI coding tools effectively and stay accountable for the output: understand, explain, and defend everything you ship. * Communicate clearly in spoken and written English, including explaining technical trade\-offs to both technical and non\-technical audiences Generous compensation \+ stock options \- aligned with our internal framework, market data, and individual skills. Health \& retirement benefits Key Skills: Machine Learning, Python Salary: GBP 93000 - 116000 per yearly