SeniorLead Machine Learning Engineer

Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. Weve all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies dont want to become more efficient but because they dont know where to start.

Mimica automatically analyzes your teams work then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions helping companies remove process bottlenecks automate the right tasks and upskill teams with precision and confidence.

Weve 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.

Our team

Behind our platform is a team of exceptionally talented people remote-first and globally distributed across 16 countries. Were looking for curious collaborative people excited to solve complex problems. Youll join a fast-paced environment built on high ownership bottom-up thinking and transparent open communication helping some of the worlds 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

Youll join us as a Machine Learning Engineer/ Data Scientist for Mimicas Data Intelligence team whose goal is to transform raw recorded data into clean structured anonymized data that powers the work of other teams.

Youll own key parts of our ML pipelines end to end making them more accurate cost-efficient and trustworthy. Along the way youll build evaluations and LLM judges run experiments and transform promising results into validated production improvements.

Your work will be applied and LLM-heavy with opportunities to evaluate and fine-tune open-source models and build smaller task-specific models.

If you enjoy taking ML beyond experiments this is your chance to shape the systems at the heart of Mimicas products and see your work deliver value to real users at scale.

• 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)

Primarily were looking for an individual with an experiment- and data-driven researcher mindset with good coding habits. This includes:

• 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 youre 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

• 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.

This is a fully remote position. To make sure we work well together were only considering candidates based in the UK or Europe in time zones compatible with London (typically UTC-1 to UTC3).

• Stage 1. Talent Partner (30-45 min)

• Stage 2. Take-home challenge (flexible) Technical Discussion with the team (1h)

• Stage 3. Technical design exercise and situational questions in session w/ two ML Engineers (1h)

• Stage 4. Behavioral interview w/ Engineering leadership (1h)

• Offer

• Identity Verification

Generous compensation stock options - aligned with our internal framework market data and individual skills.

Distributed work: Work from anywhere - fully remote in our hubs or a mix.

Company-issued laptop remote setup stipend and co-working budget

Flexible schedules and location

Ample paid time off in addition to local public holidays

Enhanced parental leave

Health & retirement benefits

Annual learning & development budget

Annual workaways and regular virtual & in-person socials

Opportunity to contribute to groundbreaking projects that shape the future of work

Note: Some benefits may vary depending on location and role

 Mimica will only contact candidates from an @ email address. We do not request banking or sensitive personal information during the recruiting process.

Required Experience:

Senior IC