Senior/Lead Machine Learning Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mimica

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Mimica is a company that specializes in AI-powered process discovery and automation opportunities for businesses. By observing a team's work, Mimica maps current processes, identifies areas for improvement, and prioritizes them based on time savings and ease of automation. The company offers process intelligence metrics that help prioritize high-ROI transformation and automation activities. Mimica emphasizes data security and compliance with standards such as GDPR, ISO 27001, and SOC 2. Its products, including Mimica Miner and Mimica Mapper, aim to accelerate business transformation and improve efficiency through accurate process mapping and automation.

📋 Description

• Transform raw recorded data into clean, structured, anonymized data for downstream teams • Own key parts of ML pipelines end to end • Improve pipeline accuracy, cost efficiency, and trustworthiness • Build evaluations and LLM judges • Run experiments and turn promising results into validated production improvements • Evaluate and fine-tune open-source models • Build smaller task-specific models • Own, debug, and improve production pipelines • Design and iterate on LLM evaluations and LLM-as-a-judge systems, including datasets, metrics, and benchmarks • Experiment with prompts, pipeline design, model choice, and inputs such as OCR text versus image plus OCR • Drive LLM efficiency improvements by comparing models, restructuring steps, and replacing LLM calls with smaller purpose-built models • Expand the anonymization pipeline by evaluating and adapting existing models • Work with Python and quality engineers to productionize experiments • Share responsibility for shipped production code • Document findings in experiment reports and design documents

🎯 Requirements

• 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, especially evaluating them • Experience building eval sets, LLM judges, benchmarks, and iterating on prompts and pipelines • Comfortable exploring, troubleshooting, and transforming messy data into measurable improvements • Strong Python and good engineering skills • Clear, readable, tested code suitable for production • Ability to work independently on ambiguous problems • Effective use of AI coding tools with accountability for shipped output • Clear spoken and written English • Ability to explain technical trade-offs to technical and non-technical audiences • Experience with classical ML or deep learning model development (nice to have) • Experience with image/OCR pipelines or face-related anonymization (nice to have) • Experience shipping end-to-end ML features in a startup or scale-up environment (nice to have)

🏖️ Benefits

• Generous compensation + stock options • Distributed work: Work from anywhere - fully remote, in our hubs, or a mix • Company-issued laptop • Remote setup stipend • 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 • Regular virtual & in-person socials • Opportunity to contribute to groundbreaking projects that shape the future of work