Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности за данные и оценку AI-систем безопасности, а Python и ML дают актуальный технический фокус; при этом работа указана как офисная в Великобритании, а условия баланса и развития не раскрыты.
?Работа в офисе
Актуальные технологии
AI в кибербезопасности
Понятная зона ответственности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data & AI / ML Evaluation Engineer (AI/ML and Cybersecurity): Building automated data ingestion, curation, training, and evaluation infrastructure for AI security models with an accent on threat-data pipelines, labeling workflows, and benchmark automation. Focus on capturing false-positive feedback, retraining Prompt Injection and Shadow-AI models, and measuring detection quality against baseline models.
Location: EMEA - U.K.
Company
hirify.global develops browser security products that protect organizations from threats across the web, documents, email, and AI-agent workflows.
What you will do
Design and operate automated data collection, mining, and web-scraping pipelines for threat samples from surrogate traffic and web sources.
Build data processing, annotation, dataset curation, model training, and retraining workflows for Prompt Injection SLMs, Shadow-AI detection, Malicious Macro classifiers, and PII detection.
Capture false-positive samples from live user and DDR flows and integrate them into retraining pipelines.
Develop automated benchmarking and evaluation harnesses for detection quality, runtime performance, and accuracy against baseline models such as Vertex AI.
Collaborate with research and software engineering teams to convert detection telemetry into model improvements.
Requirements
2–4 years of experience in software engineering, data engineering, or automated QA/evaluation roles.
Strong Python programming proficiency; C++, SQL, and related programming experience are advantageous.
Experience with model training and various ML and AI algorithms.
Experience building data pipelines, web scrapers, or automated data-processing systems.
Familiarity with data structures, storage formats, and database configurations.
A methodical approach to dataset labeling, validation, bug logging, and metric tracking.
Nice to have
Hands-on experience with ML evaluation frameworks, dataset curation, or annotation tools.
Familiarity with text extraction, NLP preprocessing, or document parsing.
Understanding of cybersecurity concepts including Prompt Injection, Malicious Macros, and DLP/PII.
Basic experience with cloud storage, object stores, and Docker.
Experience with AWS, GCP, Terraform, Kubernetes, and Linux.
Culture & Benefits
Full-time role within the R&D department.
Culture centered on Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled decision-making.
Employment consideration is provided without discrimination based on protected characteristics.
Hiring process
Agencies may submit resumes only through Ashby with a valid services agreement and Talent-team assignment to the specific requisition.
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