Senior/Lead Machine Learning Engineer

The role

You will join the Data Intelligence team to transform raw recorded data into clean, structured, and anonymized data. You will own ML pipelines end to end, build LLM evaluations, and run experiments to improve accuracy and efficiency.

What you will do

• Own, debug, and improve production pipelines for accuracy and efficiency.
• Design, build, and iterate on LLM evals and LLM-as-a-judge systems.
• Run rigorous experiments on prompts, pipeline design, model choice, and inputs.
• Drive LLM efficiency improvements by comparing models and replacing LLM calls with smaller models.
• Expand the anonymization pipeline by evaluating and adapting existing models.
• Work with Python and quality engineers to take experiments into production.
• Document findings in writing including experiment reports and design docs.

Required qualifications

• Solid machine learning/data science background including experimental design, data splits, metrics, bias, and statistical significance.
• Hands-on experience applying LLMs in production or near-production settings.
• Experience building eval sets, LLM judges and benchmarks, and iterating on prompts and pipelines.
• Comfortable exploring and troubleshooting messy data.
• Strong Python and good engineering skills.
• Ability to write clear, readable, tested code.
• Able to work independently on ambiguous problems.
• Use AI coding tools effectively and stay accountable for the output.
• Communicate clearly in spoken and written English.

Nice to have

• Experience with classical ML or deep learning model development.
• Experience with image/OCR pipelines or face-related anonymization.
• Experience shipping end-to-end ML features in a startup or scale-up environment.

Benefits

• Generous compensation + stock options
• Fully remote, in hubs, or a mix
• Company-issued laptop
• Remote setup stipend
• Co-working budget
• Flexible schedules and location
• Ample paid time off
• Local public holidays
• Enhanced parental leave
• Health & retirement benefits
• Annual learning & development budget
• Annual workaways and regular virtual & in-person socials

Before you apply

• Only considering candidates based in the UK or Europe in time zones compatible with London (typically UTC-1 to UTC+3).
• Stage 2 includes a take-home challenge (flexible) and technical discussion.
• Stage 3 includes a technical design exercise and situational questions.
• Stage 4 includes a behavioral interview.
• Identity Verification is part of the process.

About the company

Mimica is an AI-powered process intelligence platform that automatically analyzes team work and generates AI agents to execute it. The company is remote-first and globally distributed across 16+ countries.